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Field Medical Services Jobs

2,625 active opportunities · Updated for October 2026

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OpenAI
📍 San Francisco• Full-time• Remote• $185K – $300K/yr
Just now

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript,

REMOTEjavascriptpythonartificial intelligence
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OpenAI
📍 Seattle• Full-time• Remote• $185K – $300K/yr
Just now

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Seattle. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or co

REMOTEjavascriptpythonartificial intelligence
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Baseten
📍 San Francisco• Full-time• Remote• $185K – $205K/yr
Just now

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Our Sales and Solutions teams navigate hard technical conversations spanning inference performance, GPU economics, latency budgets, deployment shape. As Baseten’s platform matures, we need a dedicated owner to translate launch velocity into field readiness. As our first Product Enablement Lead, you'll sit between Product, Marketing, and Sales GTM and own how Baseten's products, features, campaigns, and market moments like the launch of GLM-5.2 or Kimi K3 or the sudden evolution of Tokenomics as a discipline get translated into field execution. You will own how these launches land with the field, how AEs and SAs stay credible on a highly dynamic technical ecosystem, and how what the field hears from customers makes it back to Product. This is a hands-on individual contributor role. You are the bridge between product, marketing, and sales. You'll build the system and run it, which includes cross-functional program leadership, direct training and enablement of in-seat reps, and content and curriculum development for managers, sellers, and new hires. Success here will depend on your ability to build repeatable systems and rhythms and to partner across the business and with your enablement colleagues to ensure alignment and speed of execution. RESPONSIBILITIES Own launch readiness: partner with Product and Marketing on positioning, write internal launch comms, and run readiness sessions so AEs and SAs can sell new pr

REMOTEmachine learningai
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Cohere
📍 San Francisco• Full-time• Remote• $230K – $430K/yr
Just now

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? As an Account Executive at Cohere you will have ownership of the full sales cycle - from identifying leads to closing deals, with State, Local and Higher Education customers in the Western region of the United States. In this role you will be focussed on business development activity within the government departments and agencies at the state and local level, as well as within higher education within your territory.. We’re looking for an approachable and compelling communicator who loves working with SLED customers to uncover their needs and feels comfortable developing tailored value propositions around how Cohere’s platform can help them drive better citizen outcomes. You’ll lay the foundation for Cohere’s growth by owning your territory and collaborating with teammates across Customer Success, Sales Development, Marketing, and Sales Engineering. You’ll be the voice of the field and help our Product and Engineering teams prioritize the Cohere roadmap with customer-centric care. In this highly self-directed role, you will thrive in a quickly evolving environment. As an Account Executive, you will : Drive net-new

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OpenAI
📍 San Francisco• Full-time• Remote• $180K – $180K/yr
Just now

About the Team The Applied team works across research, engineering, product, and design to bring OpenAI’s technology to the world. We seek to learn from deployment and broadly distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. We aim to make our innovative tools globally accessible, transcending geographic, economic, or platform barriers. Our commitment is to facilitate the use of AI to enhance lives, fostered by rigorous insights into how people use our products. About the Role We are seeking Software Engineers (Emerging Talent) to join our Applied Engineering team. You’ll work in a highly iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind. We value engineers who are self-starters, care deeply about the end user experience, and take pride in building products to solve customer needs. In this role, you will: Own the development of new customer-facing ChatGPT and OpenAI API features and product experiences end-to-end Talk to users to understand their problems and design solutions to address them Collaborate with a cross-functional team of engineers, researchers, product managers, designers, and operations folks to create cutting-edge products Optimize applications for speed and scale Create a diverse and inclusive culture that makes all feel welcome. Your background looks something like: Bachelor's or Master’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 0-1 years of experience in software engineering or a relevant field Proficiency with JavaScript, React, and some backend languages (we use Python) Some experience with relational databases like Postgres/MySQL Interest in AI/ML (direct experience not required) Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadl

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OpenAI
📍 Washington• Full-time• Remote• $145.8K – $280K/yr
Just now

About the team The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions. Our team works to empower public servants with secure, compliant AI tools (e.g., ChatGPT Enterprise, ChatGPT Gov) and mission-aligned deployments that meet government technical requirements with strong reliability and safety. About the role Forward Deployed Software Engineers (FDSEs) lead complex deployments of frontier models in production. You will embed with our most strategic government and public sector customers—where model performance matters, delivery is urgent, and ambiguity is the default. You’ll map their problems, structure delivery, and ship fast. This includes scoping, sequencing, and building full-stack solutions that create measurable value, while driving clarity across internal and external teams. You will work directly with defense, intelligence, and federal stakeholders as their technical thought partner, guiding adoption, maximizing mission impact, and ensuring successful deployments at scale. Along the way, you’ll identify reusable patterns, codify best practices, and share field signal that influences OpenAI’s roadmap. This role is based in Washington DC, Seattle or San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required, including on-site work with customers. In this role you will Own technical delivery across multiple government deployments, from first prototype to stable production. Deeply embed with public sector customers to design and build novel applications powered by OpenAI models. Enable successful deployments across customer environments by delivering observable systems spanning infrastructure through applications. Prototype and build full-stack systems using Python, JavaScript, or comparable stacks that deliver real mission impact. Proactively guide customers on maximizing business and operational v

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OpenAI
📍 San Francisco• Full-time• Remote• $200K – $295K/yr
Just now

About the Team OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships. About the Role As a Deployment Lead, you will define how OpenAI delivers complex systems to Semiconductor customers. You will own how solutions are scoped, built, shipped, and adopted across high-value engineering workflows such as RTL design, verification, and physical implementation. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will focus on the semiconductor vertical to deploy next-generation AI capabilities. You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expert

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Notion
📍 San Francisco• Full-time• Remote• $220K – $275K/yr
Just now

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: As Manager, Enablement Programs, you will own the programs and operating system that help sellers ramp fast and execute with confidence — from global onboarding to role-readiness, Field OS, and AI-enabled enablement workflows. This role exists because we’re evolving our Enablement and GTM motion, and we need a leader to drive that change: set the standard for what “great” looks like in the era of AI, build an AI-native enablement model, and own the agentic workflows that help the field execute. What You'll Achieve: By day 90: Build the first version of the Field OS as a seller-ramp unlock (priority workflows, trusted resources, and AI-enabled execution moments by role). By day 90: Map and prototype the core custom agents that help sellers ramp faster and apply the right support at each stage of the sales process. By day 90: Refresh onboarding around continuous iteration (A/B testing, measurement, and role-specific alignment to the sales process) and implement onboarding engagement + impact metrics. By day 90: Stand up a dedicated manager onboarding track to help managers ramp faster and reinforce new-hire success cons

REMOTEai
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Baseten
📍 San Francisco• Full-time• Remote• $150K – $190K/yr
Just now

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten is building the infrastructure layer for AI — and we're now building the team that will scale how we take it to market. This is a foundational hire on our GTM Strategy & Revenue Operations team, sitting at the intersection of strategic planning and field execution. You'll work directly with the CRO, Head of Revenue Operations and partner closely with Finance, field leadership, and our Central Ops team. On any given week, you might be refining our pipeline generation model, building a territory coverage analysis, designing a new GTM motion, or partnering with a regional leader to understand what's driving a trend in their pipeline. This role requires someone who can think rigorously, build things from scratch, and operate with speed and judgment in an environment where the playbook is still being written. This is a rare opportunity to be an early GTM strategy and operations hire at one of the fastest-growing companies in AI infrastructure — and to help define how we scale. WHAT YOU'LL DO GTM Planning, Target Setting & Market Intelligence Contribute to the annual and quarterly GTM planning process in partnership with Finance, including headcount modeling, ramp assumptions, and revenue target-setting Build and maintain coverage models aligned to 2-year growth projections, incorporating territory design, account segmentation, and capacity planning Support quota framework development, helping translat

REMOTEsqlmachine learningai
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Plaid
📍 New York• Full-time• Remote• $201.6K – $272.4K/yr
Just now

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. The GTM Operations & Strategy team is responsible for productivity and performance improvements across our Go To Market Organisation (Sales, Account Management, Marketing, Professional Services / Support, Partnerships, Sales Development) The broader GTM Operations team operates in four closely connected teams: RevOps, Incentive Compensation, GTM Technology, and Enablement. Enablement Team Responsibilities: Onboarding - All new hires in GTM will go through an onboarding experience driven by the enablement team to set new Plaids up for success in their roles. Product Enablement - Plaid’s product suite is expanding and rapidly evolving creating a critical need for to ensure our customer facing teams are equipped to bring those solutions to market. Field Enablement - Partner closely with our revenue teams on strategic enablement initiatives targeted to the specific needs of our segments Leadership and Skill Development across all teams As a leader of the Revenue Enablement Team, you will architect and lead our enablement strategy across all customer facing teams at Plaid. This is a highly cross-functional leadership role responsible for accelerating productivity, improving executi

REMOTEaifinance
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Clickup
📍 United States• Full-time• Remote• $200K – $250K/yr
Just now

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Machine Learning Engineer, Ranking & Retrieval ClickUp is seeking an experienced Machine Learning Engineer to join our Search team. You'll own the ML systems that power search relevance for millions of users and ground our AI in the right context. Your Impact at ClickUp You'll own the full ML lifecycle for ranking and retrieval, from training through deployment and production serving. Our search indexes large-scale, user-generated content across a multi-tenant platform where permissions-aware retrieval is critical. You'll build the systems that decide what surfaces first. Core Responsibilities Train, deploy, and serve ranking models in production, owning the full ML lifecycle Build ranker features, training pipelines, and offline evaluation frameworks Design and scale hybrid retrieval combining lexical and vector search (including HNSW with disk offloading) Run embedding inference at billions-of-documents scale Improve query understanding through intent modeling and query expansion Build permissions-aware retrieval that respects multi-tenant boundaries Create measurement frameworks to evaluate and improve search quality Collaborate with Search Infrastructure, AI, and backend teams to integrate ranking improvements across the platform Technical Requirements Bachelor's degree in Computer Science, Machine Learning, or related field 5+ years of ML engineering experience focused on ranking, retrieval, or information retrieval Proven full ML lifecycle ownership: training, deploying, and serving models in production Hands-on ranker model training: feature engineering, pipelines, offline evaluation Experie

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Snowflake
📍 Menlo Park• Full-time• Remote• $165K – $216.3K/yr
Just now

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We’re at the forefront of the data revolution, building the world’s greatest data, applications, and AI/ML platform. Our ‘get it done’ culture empowers everyone at Snowflake to innovate, create work with lasting impact, and thrive in a collaborative environment. Snowflake product marketers conceive of and execute go-to-market plans that drive awareness, adoption, and drive success for our customers. We are looking for a Sr. Product Marketing Manager to orchestrate go-to-market execution for the Finance Department / CFO Office, scaling global programs, amplifying regional priorities, and ensuring our message resonates with finance leaders across industries. This is a highly cross-functional role, working closely with Account teams, Field Marketing, Technical Sales, Industry specialists, and Global PMMs to align strategy with execution. The successful candidate will thrive on program orchestration, enablement at scale, and surfacing regional insights to shape global direction. What You’ll Do Co-own and align marketing strategy for the Finance team personas, ensuring plans reflect customer insights and empower the field to execute with impact. Develop and execute “big bets” by identifying opportunities for net-new integrated campaigns and targeted sales plays that accelerate a

REMOTEaifinance
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Okta
📍 Bengaluru• Full-time
Just now

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About The Team Global Innovation Center SE team (Presales): Over the last 3 years, Okta in Bangalore has fueled our growth around the world. The Global Innovation Center Presales team has been a crucial part of this growth. We are expanding this team made up of exceptional high-performing individuals. In this team, you will focus on being a customer-facing solution engineer crafting identity and security solutions for commercial segments in the US, ranging from digitally native start-ups to scaling SMBs. As a Solutions Engineer you will: Support our customers along their sales journey by showing them the value of the Okta technology through live demonstrations and sales presentations. Sell directly to IT managers, developers, product managers, and occasionally more senior executives across various industries.. Have a focus on our Okta Workforce Identity solutions and be able to model how this solution will support their current architecture requirements and use cases Execute well-defined, outcome-focused POCs Maintain a broad and deep technical understanding of the Okta product line and the underlying technologies and protocols Occasionally participate in local and regional events evangelising Okta as a presenter and an attendee. We are looking for: Ability to work in the EST Time Zone A minimum of 5 years of working experience in IAM or a related SaaS field as a pre-sales engineer. Expertise or hands-on experience in IAM, single sign-on, multi-factor authe

machine learningartificial intelligenceai
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Dscout
📍 India• Full-time• Remote
Just now

At Dscout, we’re building the most flexible and powerful UX research platform on the market—trusted by the world’s top brands in finance (JP Morgan Chase, Intuit, Charles Schwab, PayPal), healthcare (Aya, Headspace), consumer goods (Keen, Verizon, Target, Northface), and tech (Google, Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind their products, so they can build better ones. We are expanding our smart and driven team and would love for you to join us. We are looking for a Research Advisor to join our growing Customer Experience and Research (CXR) team. In this position, you will work collaboratively with Lead Research Advisors and Dscout clients to help our customers use our platform to design, recruit and field research projects. Our clients conduct research on a wide range of topics varying across: technology, retail, healthcare, and AI, just to name a few. You will have a chance to make a real difference for Dscout’s customers and build your career in the worlds of research and customer success. You are an incredible communicator and a genuine, creative problem-solver. You’re the client’s partner in learning a new digital tool to execute powerful research. You collaborate with clients as they develop research plans, and help to identify Dscout methodologies that best meet their needs. Internally, you are our clients’ champion to drive larger improvements to the platform and overall user experience. The Research Advisor position is among the most central to Dscout’s operations, and means you’ll work with people from across the company on a regular basis, especially our product, engineering and sales teams. If this sounds exciting to you, apply today! What you will do: Act as a true Dscout expert to train and educate clients on features and functionalities Provide specific recommendations for clients’ research design on Dscout Assist in running clients’ research projects on Dscout in

REMOTEaifinance
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Instawork
📍 Bengaluru• Full-time
Just now

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we're looking for exceptional talent to reimagine the way the world works. Role Overview An Internal Coordinator (IC) owns the day-to-day running of field data collection for a single region. Each IC leads a team of Field Officers (FOs) who carry recording rigs(hardware) into partner businesses, set them up correctly, and capture high-quality task recordings. The IC is the operational nerve center of the region: planning the day's pipeline, keeping FOs productive in the field, solving problems live, ensuring recording quality and diversity rules are met, tracking inventory (rigs and SD cards) in and out, and reporting hours planned vs. achieved with clear loss reasons at end of day. This role is mainly about live coordination, field problem-solving, quality control, and disciplined reporting. Who Are Field Officers (FOs)? People working on the ground, out in the field They collect rigs from inventory, travel to assigned businesses, and record short videos of real commercial/household tasks They are responsible for correct setup, on-site recording, and returning rigs and SD cards They have clear daily and overall hou

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