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Data Instructor Jobs

10,000 active opportunities · Updated for October 2026

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G
GHX
📍 Houston• Full-time• $13 – $18/hr
7mo ago

The Inventory Specialist is responsible for both traditional medical/surgical supplies management and 2-Bin Kanban project supply chain systems. This role is responsible for the accurate and efficient counting, stocking, and auditing of consumable medical/surgical supplies, pharmaceuticals, surgical implants, instruments, and other hospital assets. This role may also be responsible for installing and maintaining 2-Bin Kanban project supply chain lines, including assembling and adjusting inventory storage racks. This is a temporary position that will require extensive travel. Essential Functions and Responsibilities: Accurately capture inventory count data in the HITS program, utilizing Excel or paper count sheets as instructed by the Team Leader or other Inventory Management. Perform inventory counts, ensuring all items are accounted for and reported according to established policies. Report discrepancies in inventory to the Team Leader. Maintain a high level of competency in using technology for inventory data capture, including the HITS application. Regularly communicate with the Team Leader regarding any issues with the HITS program and/or computer equipment. Assemble/disassemble and adjust inventory storage racks, carts, and shelving for supplies. Install carts to each par location. Organize and stock inventory shelving as directed by the supervisor and hospital staff teams. Read data for supplies description, item number, par, and unit of measurement (uom). Pick one (1) each of supplies for each par location and label with a temporary label. Bin and stage supplies on carts with appropriate bin size and label. Label bins and carts. Accurately capture inventory count data in the HITS program using Excel or paper count sheets as instructed by the Team Leader or other Inventory Management. Follow procedures and protocols outlined in job orientation and training. Follow company procedures, guidelines, and standards in customer service, equipment utilization, a

Excelauditingsupply chain
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G
7mo ago

The Inventory Specialist is responsible for both traditional medical/surgical supplies management and 2-Bin Kanban project supply chain systems. This role is responsible for the accurate and efficient counting, stocking, and auditing of consumable medical/surgical supplies, pharmaceuticals, surgical implants, instruments, and other hospital assets. This role may also be responsible for installing and maintaining 2-Bin Kanban project supply chain lines, including assembling and adjusting inventory storage racks. This is a seasonal temporary position that will require extensive travel. Essential Functions and Responsibilities: Accurately capture inventory count data in the HITS program, utilizing Excel or paper count sheets as instructed by the Team Leader or other Inventory Management. Perform inventory counts, ensuring all items are accounted for and reported according to established policies. Report discrepancies in inventory to the Team Leader. Maintain a high level of competency in using technology for inventory data capture, including the HITS application. Regularly communicate with the Team Leader regarding any issues with the HITS program and/or computer equipment. Assemble/disassemble and adjust inventory storage racks, carts, and shelving for supplies. Install carts to each par location. Organize and stock inventory shelving as directed by the supervisor and hospital staff teams. Read data for supplies description, item number, par, and unit of measurement (uom). Pick one (1) each of supplies for each par location and label with a temporary label. Bin and stage supplies on carts with appropriate bin size and label. Label bins and carts. Accurately capture inventory count data in the HITS program using Excel or paper count sheets as instructed by the Team Leader or other Inventory Management. Follow procedures and protocols outlined in job orientation and training. Follow company procedures, guidelines, and standards in customer service, equipment utili

Excelauditingsupply chain
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The Inventory Specialist is responsible for both traditional medical/surgical supplies management and 2-Bin Kanban project supply chain systems. This role is responsible for the accurate and efficient counting, stocking, and auditing of consumable medical/surgical supplies, pharmaceuticals, surgical implants, instruments, and other hospital assets. This role may also be responsible for installing and maintaining 2-Bin Kanban project supply chain lines, including assembling and adjusting inventory storage racks. This is a seasonal temporary position that will require extensive travel. Essential Functions and Responsibilities: Accurately capture inventory count data in the HITS program, utilizing Excel or paper count sheets as instructed by the Team Leader or other Inventory Management. Perform inventory counts, ensuring all items are accounted for and reported according to established policies. Report discrepancies in inventory to the Team Leader. Maintain a high level of competency in using technology for inventory data capture, including the HITS application. Regularly communicate with the Team Leader regarding any issues with the HITS program and/or computer equipment. Assemble/disassemble and adjust inventory storage racks, carts, and shelving for supplies. Install carts to each par location. Organize and stock inventory shelving as directed by the supervisor and hospital staff teams. Read data for supplies description, item number, par, and unit of measurement (uom). Pick one (1) each of supplies for each par location and label with a temporary label. Bin and stage supplies on carts with appropriate bin size and label. Label bins and carts. Accurately capture inventory count data in the HITS program using Excel or paper count sheets as instructed by the Team Leader or other Inventory Management. Follow procedures and protocols outlined in job orientation and training. Follow company procedures, guidelines, and standards in customer service, equipment utili

Excelauditingsupply chain
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SA
Scale AI
📍 United States• Full-time• $290.4K – $363K/yr
12mo ago

Scale's LLM post-training platform team builds our internal distributed framework for large language model training. The platform powers MLEs, researchers, data scientists, and operators for fast and automatic training and evaluation of LLMs. It also serves as the underlying training framework for the data quality evaluation pipeline. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely with Scale’s ML teams and researchers to build the foundation platform which supports all our ML research and development works. You will be building and optimizing the platform to enable our next generation LLM training, inference and data curation. If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you! You will: Build, profile and optimize our training and inference framework. Collaborate with ML and research teams to accelerate their research and development, and enable them to develop the next generation of models and data curation. Research and integrate state-of-the-art technologies to optimize our ML system. Ideally you’d have: Passionate about system optimization Experience with multi-node LLM training and inference Experience with developing large-scale distributed ML systems Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc. Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc. Strong written and verbal communication skills to operate in a cross functional team environment. Nice to haves: Demonstrated expertise in post-training methods and/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc. Compensation packages at Scale for eligible roles include base salary, equity,

Job Requisition ID # 26WD101331 Position Overview The Business Operations Management Program Manager is responsible for driving complex, cross-functional initiatives across Deal & Partner Operations. This role leads programs and projects from definition through implementation, translating business and subject-matter requirements into scalable processes, work instructions, and operational solutions that support organizational priorities. Working closely with Deal & Partner Operations leadership and stakeholders across Autodesk, you will identify process gaps, evaluate risks and trade-offs, align parallel workstreams, and guide programs toward measurable outcomes. You will independently navigate complex and evolving requirements, influence without direct authority, and communicate recommendations, progress, and challenges to audiences at multiple levels of the organization. You will also support organizational readiness and change adoption, strengthen subject-matter expertise across the organization, and use data, business applications, automation, and AI to improve efficiency, decision-making, and communication. This role reports to the Senior Manager of Business Operations Management and Chief of Staff to the Vice President of Deal & Partner Operations. The position is based in Barcelona and follows Autodesk’s hybrid work model. Responsibilities Lead complex, cross-fu

aisalesforce
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B
Baseten
📍 San Francisco• Full-time• Remote• $200K – $250K/yr
3 days ago

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 has emerging co-sell relationships with multiple strategic marketplaces and clouds, including OpenAI , NVIDIA and other Hyperscalers, Model Labs, and Data Platforms. The task at hand is to enable and activate partner sellers and to ensure that our internal field teams are well-supported to work successful with partner teams. As Baseten’s Partner Enablement Lead, you'll turn each partnership into a repeatable field motion. You'll work out why a partner account executive should care about Baseten, which of their customers are a fit, and what joint execution looks like. Then you'll co-build what it takes for sellers on both sides to run that play: the value proposition, the account mapping, the talk tracks, the training, and the relationships with partner field leaders. As always, the work starts with earning partner attention. This is a strategic, hands-on role for an ecosystem GTM operator who peaks in enablement. Your work will include deep cross-functional collaboration, instructional design, content development, and training delivery. You won't own partner-sourced pipeline directly, but you will make those who do much more effective. Our partnerships span Hyperscalers, Model Labs, Semiconductors, Consulting and Systems Integrators, and Data Platforms. While much of what partner enablement looks will be in your hands to define, it will include getting in front of field sellers, developing co-sell opport

REMOTEawsazuremachine learning
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Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Implementation team is the tip of the spear in getting Altana's platform into production inside our customers' businesses. We own the path from signed contract to realized value: standing up integrations, wiring Altana into the customer's existing business processes, and making sure the insight we deliver actually changes decisions on the customer's side. We are a delivery organization with a technical core. We work directly with customer stakeholders — from trade compliance analysts to enterprise IT — and we work just as closely with Altana's engineering, data science, and product teams to translate what we learn in the field into what gets built next. You Will Design and deploy agentic AI systems Design, build, and deploy agentic AI workflows — multi-step agents, tool and function calling, and automations — that power the customer's business processes and act on real customer data Ground agents in customer context: connect them to the right data sources, APIs, and systems of record, and define the tools, permissions, and guardrails they operate within Write and refine the prompts, system instructions, and evaluation criteria that make an agent reliable enough to trust in production Build the orchestration and human-in-the-loop checkpoints that keep agentic workflows safe, auditable, and correctable in a customer's environment Monitor, evaluate, and iterate on deployed processes — tracking accuracy, cost, and latency, and tuning them as the customer's data and needs evolve Own technology implementation and delivery Lead customer implementations end to end: scoping, configuration, integration, validation, go-live, and handoff to steady-state support Configure and deploy Altana's platform capabilities against real customer data and real customer

pythonsqlpostgresql
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Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Implementation team is the tip of the spear in getting Altana's platform into production inside our customers' businesses. We own the path from signed contract to realized value: standing up integrations, wiring Altana into the customer's existing business processes, and making sure the insight we deliver actually changes decisions on the customer's side. We are a delivery organization with a technical core. We work directly with customer stakeholders — from trade compliance analysts to enterprise IT — and we work just as closely with Altana's engineering, data science, and product teams to translate what we learn in the field into what gets built next. You Will Design and deploy agentic AI systems Design, build, and deploy agentic AI workflows — multi-step agents, tool and function calling, and automations — that power the customer's business processes and act on real customer data Ground agents in customer context: connect them to the right data sources, APIs, and systems of record, and define the tools, permissions, and guardrails they operate within Write and refine the prompts, system instructions, and evaluation criteria that make an agent reliable enough to trust in production Build the orchestration and human-in-the-loop checkpoints that keep agentic workflows safe, auditable, and correctable in a customer's environment Monitor, evaluate, and iterate on deployed processes — tracking accuracy, cost, and latency, and tuning them as the customer's data and needs evolve Own technology implementation and delivery Lead customer implementations end to end: scoping, configuration, integration, validation, go-live, and handoff to steady-state support Configure and deploy Altana's platform capabilities against real customer data and real customer

pythonsqlpostgresql
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Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Implementation team is the tip of the spear in getting Altana's platform into production inside our customers' businesses. We own the path from signed contract to realized value: standing up integrations, wiring Altana into the customer's existing business processes, and making sure the insight we deliver actually changes decisions on the customer's side. We are a delivery organization with a technical core. We work directly with customer stakeholders — from trade compliance analysts to enterprise IT — and we work just as closely with Altana's engineering, data science, and product teams to translate what we learn in the field into what gets built next. You Will Design and deploy agentic AI systems Design, build, and deploy agentic AI workflows — multi-step agents, tool and function calling, and automations — that power the customer's business processes and act on real customer data Ground agents in customer context: connect them to the right data sources, APIs, and systems of record, and define the tools, permissions, and guardrails they operate within Write and refine the prompts, system instructions, and evaluation criteria that make an agent reliable enough to trust in production Build the orchestration and human-in-the-loop checkpoints that keep agentic workflows safe, auditable, and correctable in a customer's environment Monitor, evaluate, and iterate on deployed processes — tracking accuracy, cost, and latency, and tuning them as the customer's data and needs evolve Own technology implementation and delivery Lead customer implementations end to end: scoping, configuration, integration, validation, go-live, and handoff to steady-state support Configure and deploy Altana's platform capabilities against real customer data and real customer

pythonsqlpostgresql
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Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. Job Purpose The Senior Manager, Assembly Operations is responsible for Core, Module, and Harness Assembly at the Cedar Park, Texas facility as KARNO production moves from development builds to repeatable production. Hyliion designs and builds the KARNO Power Module, a fuel-agnostic linear generator for data center, commercial and industrial, and defense applications, combining additive manufacturing with precision electromechanical assembly. The position runs the shop floor through Safety, Quality, Delivery, Cost, and People (SQDCP) performance, builds the standard work and discipline that make production predictable, and develops supervisors into front-line leaders. Designs are maturing, work instructions are evolving, and some assemblies are still being productionized, so the position brings structure to that environment without slowing the build. Continuous improvement is part of the daily work of the role. Leadership is exercised on the production floor by listening to the people doing the work and solving problems alongside them, with high standards and accountability delivered with respect. AI at Hyliion At Hyliion, AI is core to how we work. We equip every team member with leading AI tools and count on you to use them — to move faster, solve harder problems, and help us realize the full potential of KARNO technology for the world. Duties and Responsibilities Own Safety, Quality, Delivery, Cost, and People (SQDCP) performance across Core, Module, and Harness Assembly, with defined metrics, visual management, and daily tiered accountability. Build a safety-first culture in an environment that includes high-voltage systems, pressuri

aisupply chainhuman resources
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TN
The New York Times
📍 New York• $110K – $120K/yr
11 days ago

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. The Manager, AI Strategy & Enablement will help execute Marketing's AI strategy by turning approved priorities into tools and workflows that teams can use. You will identify opportunities where AI can improve work, recommend whether AI, process changes, or conventional software are the better approach, and build and configure solutions directly. Quality, business impact, adoption, and time saved will determine how we measure success, not the number of tools used or launched. You will sit on the Marketing team and report to the Managing Director, MarTech & AI. You will work across Marketing and regularly collaborate with Enterprise IT, Product, Data, Information Security, Legal, Privacy, and Procurement teams. This is a hybrid role based in our New York City headquarters. You can expect to come into the office three days per week. Responsibilities: Identify opportunities to automate or improve Marketing work and translate ambiguous business problems into practical use cases. Recommend whether AI, process changes, or conventional software are the best approach to each problem. Lead assigned AI projects from discovery through rollout and ongoing improvement, managing requirements, timelines, owners, dependencies, risks, and success measures. Build, configure, test, and improve AI tools and workflows using approved enterprise, low-code, and development tools. Apply established standards for instructions, reference materials, data, p

aiprocurement
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N
24 days ago

POSITION SUMMARY: The Clinical Laboratory Scientist analyzes specimens and maintains equipment in good operating condition. PRIMARY RESPONSIBILITIES: • Verify the proper specimen being analyzed and perform tests that need to be completed • Analyze clinical laboratory specimens following the standard methods and procedures in an efficient manner with little to no errors • Responsible for maintaining updated understanding and knowledge of methods performed in the lab • Follows GLP (good laboratory practice): maintain clean and organized work space • Completes training and other deadlines on time. • Go-to person when lead/supervisor is not available • Train on specialized instructions for instruments/protocols (super users) • Recognizes and escalates equipment malfunctions; troubleshoots common errors • Recognizes, documents, and escalates protocol deviations in lab to lead/supervisor • Participates in the updating of departmental standard operating procedures and database to accurately reflect the current practices. • Ensures compliance with all regulatory agency requirements through proper documentation • Performs quality control procedures to ensure accuracy of clinical data (if applicable) • Maintains equipment and instruments in good operating condition • Communicates with team and other departments (including via e-mail) • &nb

Manufacturing Engineer (Experienced or Senior) Company: The Boeing Company The Boeing Test and Evaluation (BT&E) Test Operations & Engineering (TO&E) Instrumentation Data System Installation Design team located in Berkeley, MO is seeking Manufacturing Engineers to provision Flight Test Instrumentation hardware on multiple aircraft platforms. On this team, a Manufacturing Engineer (Assembly & Installation) has the primary responsibility for the fabrication and installation of the mechanical and electrical hardware required to install a flight test data system. Design-Build Flight Test Manufacturing Engineers work the entire production cycle from review of engineering, manufacturing plan authorship, fabrication sourcing (inside and outside of Boeing) and detail planning, and continuing on through installation planning and shipside support. Manufacturing Engineers are owners of the build plan and ensure compliance to design configuration, build plan, and process requirements. Manufacturing Engineering performs Design for Manufacturing and Assembly (DFMA) analysis and develops an integrated build plan consisting of work instructions for assembly/fabrication, kitting, tooling, inspection requirements, and other outputs to ensure fabrication meets design, test, and program requirements. BT&E is currently hiring for a broad range of experience levels including Experienced and Senior level Manufacturing Engineers. Position Responsibilities: Synthesis of test hardware & instrumentation requirements in support of flight test Review of design models and drawings, creating/reviewing redlines and coordinating with design to incorporate updates Authorship of manufacturing plans to facilitate build

procurementrecruitment
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O
OpenAI
📍 San Francisco• Full-time• Remote• $207K – $335K/yr
1mo ago

About the Team Our Safety Systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. Within Safety Systems, the Model Policy team works to ensure that increasingly capable models behave safely and reliably in real-world environments. We investigate emerging model failures, define the behavior models should exhibit instead, and develop the data, evaluations, monitoring, and safeguards needed to improve and validate that behavior. Our work connects alignment research with the practical challenges of training and deploying frontier models. About the Role In this role, you will shape how OpenAI understands and addresses real-world risks that emerge from model misalignment as models become more autonomous and operate over longer horizons. You will investigate how misaligned behavior emerges across extended trajectories - including when models persist toward the wrong objective, take unsafe shortcuts, lose track of instructions, exploit weaknesses in their environment, or circumvent constraints - and translate these insights into behavioral policies, evaluations, monitoring, and safeguards. This role is ideal for someone who wants to turn alignment and safety concerns into concrete, empirically grounded improvements to frontier AI systems. This role is based in our San Francisco office. We offer relocation support to new employees, and we use a hybrid model: three days in the office per week with optional work from home on Thursdays and Fridays. Your Responsibilities: Identify vulnerabilities that emerge as models interact with tools, data, and external systems, and translate them into model- and system-level safeguards. Develop threat models and empirical frameworks for understanding harmful outcomes from misaligned behavior. Build frameworks for understanding harmful outcomes arising from model misalignment. Identify the underlying behaviors and system conditio

REMOTEartificial intelligenceai
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M
1mo ago

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate, and advance faster than ever. Responsibilities: -Extract, analyze, and validate data from relevant systems and sources to ensure data accuracy, integrity, and reliability. -Provide feedback, observations, and data-driven insights to the Engineering team to support problem resolution, process improvements, and qualification evaluations. -Support Engineering Qualification (Qual) activities through qualification lot tracking, monitoring, and follow-up to ensure on-time execution of qualification plans and milestones. -Execute qualification lots in accordance with manufacturing instructions, established procedures, and qualification requirements. -Verify and validate work quality, ensuring all qualification requirements and process steps are completed accurately and in compliance with established standard. -Identify, communicate, and escalate qualification risks, issues, and schedule impacts to supervisors and relevant stakeholders in a timely manner. Requirements: -Diploma in Electronics, Electrical, Mechanical, or a related technical discipline. -Experience in manufacturing, semiconductor op

artificial intelligenceaiExcel
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