Jobs in United States

Computer Generated Image Producer in United States

518 active opportunities · Updated October 2026

Explore current computer generated image producer jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.

O
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -80.2%

About the Team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use. About the Role As a member of Agent Post-Training, you will improve the capabilities, reliability, and product fit of OpenAI's agentic models. You might own a research direction, build the infrastructure that makes large training runs faster and more trustworthy, create evals that reveal where models fail, or drive a capability from an idea through experimentation, integration, and launch. This role is intentionally broad. The strongest candidates are not defined by one method or subfield; they are people who can take an ambiguous capability problem and make progress across research, engineering, data, evals, and product. You should be excited to work on models that act in the world: writing and debugging code, using tools, calling functions, operating computers, collaborating with other agents, and completing valuable work on behalf of users. You will work with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to decide what should go into major model runs, meas

AWSRestMachine LearningAI
O
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -80.2%

About the Team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use. About the Role As a researcher working on Frontier Evals & Environments, you will help build north star model environments to drive progress towards safe AGI/ASI. Your work will directly guide the research programs of the most ambitious training runs happening at OpenAI. Some prior open-sourced evaluations built by researchers in this role include GDPval , SWE-bench Verified , MLE-bench , PaperBench , and SWE-Lancer . If you are interested in feeling firsthand the fast progress of our models, and steering them towards good outcomes, this is the role for you. You will work with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to decide what should go into major model runs, measure whether it worked, and ship improvements into products used by real people. This is a high-agency role for people who want their work to land directly in frontier models. In this role, you might Create ambitious RL environments to push our models to their limits, and measure frontie

AWSRestMachine LearningAI
O
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -80.2%

About the Team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team builds the data, environments, graders, training methods, and feedback loops that shape what OpenAI’s next agents can do and what they are like to work with, then carries those improvements through major training runs and into products used by people every day. About the Role As a member of the Agent Post-training Personality team, you will help make OpenAI’s agents exceptional collaborators. You will study what makes an agent thoughtful, clear, perceptive, appropriately proactive, and genuinely easy to work with, then translate those insights into evals, training data, reward signals, and model improvements. We use “personality” to mean much more than writing style or general likability. It includes whether an agent understands what the user is trying to accomplish, communicates with good judgment, adapts to context, asks useful questions, handles disagreement honestly and takes initiative at the right moments. The goal is to create a strong, tasteful default that can adapt to different people and situations. This work combines behavioral research, product thinking, research and communication taste. You will collaborate with product teams, human experts, and researchers across post-training and pretraining to ensure that improvements survive the full trai

AWSRestMachine LearningAI
O
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -80.2%

About the Team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use. About the Role We believe that the final enabler for AGI is spending compute on context. As a Context Researcher on Agent Post-Training, you will scale compute spent on context. You will get to work in our frontier training stack on enabling the next paradigm of model training with a clear product interface for iterative deployment (Codex Chronicle). You will work with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to decide what should go into major model runs, measure whether it worked, and ship improvements into products used by real people. This is a high-agency role for people who want their work to land directly in frontier models. In this role, you might Design and run experiments that improve scaling of compute on context. Own end-to-end improvements to the post-training stack, including RL, data pipelines, graders, reward signals, evals, diagnostics, and model-behavior analysis. Build evals and environments that expose the next set of model failures,

AWSRestMachine LearningAI
O
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -80.2%

About the Team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use. About the Role As a member of this API & power-users team, you will improve the capabilities, reliability, and product fit of OpenAI’s agentic models for power users and API developers. You might design evals from real developer workflows, build training environments around production-like tool use, turn qualitative model failures into training data, evals, or post-training interventions, or drive a behavior improvement from discovery through post-training, integration, and launch. This role is intentionally broad. The strongest candidates are comfortable turning ambiguous model behavior problems into concrete progress, whether that means improving tool use, planning, instruction following, recovery from mistakes, or how models behave in API-based workflows. You should be excited to work across research, engineering, data, evals, and product to make models better at acting in real workflows. You will work closely with researchers, engineers, API/product teams, Codex, infrastructure, and safety/align

AWSRestAIRust
O
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -80.2%

About the Team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use. About the Role As a member of Agent Post-Training, Artifacts, you will train frontier models to create polished, useful work products: documents, spreadsheets, slide decks, dashboards, reports, analyses, and other interactive or editable artifacts. You will help teach our models to move from a vague user goal to a finished artifact with strong structure, visual taste, domain judgment, correctness, and low latency. This work will require owning improvements across our post-training stack, including RL, data pipelines, graders, reward signals, evals, and behavioral analysis. You will work with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to decide what should go into major model runs, measure whether it worked, and ship improvements into products used by real people. This is a high-agency role for people who want their work to land directly in frontier models. In this role, you will: Design and run experiments that improve agentic model behavior for complex so

AWSRestMachine LearningAI
O
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -80.2%

About the Team The Codex Research team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use. About the Role As a member of the Codex Research team, you will improve the capabilities, reliability, and product fit of OpenAI's agentic models. You might own a research direction, build the infrastructure that makes large training runs faster and more trustworthy, create evals that reveal where models fail, or drive a capability from an idea through experimentation, integration, and launch. This role is intentionally broad. The strongest candidates are not defined by one method or subfield; they are people who can take an ambiguous capability problem and make progress across research, engineering, data, evals, and product. You should be excited to work on models that act in the world: writing and debugging code, using tools, calling functions, operating computers, collaborating with other agents, and completing valuable work on behalf of users. You will work with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to decide what should go into major model runs, measu

AWSRestMachine LearningAI
C
📍 Fredericksburg, United States
✓ High-confidence listingCompany trend +340.2%
Quick readStrong listing-quality and freshness signals

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. We are seeking a dependable Stock Handler to join our distribution team. This role is responsible for accurately stocking and organizing merchandise within the warehouse, ensuring compliance with safety and operational standards. If you enjoy working in a fast-paced environment and value accuracy and teamwork, this is a great opportunity for you! Responsibilities Stock and organize merchandise in designated areas within the distribution center. Verify product information, lot numbers, and expiration dates when applicable. Maintain accurate inventory records using warehouse management systems (WMS). Ensure compliance with all safety and operational guidelines. Assist with general warehouse duties as needed. Qualifications Strong attention to detail and organizational skills. Ability to lift up to 50 lbs and stand for extended periods. Basic computer skills and experience with inventory systems preferred. Previous experience in stocking or warehouse operations preferred (0–2 years). Education High school diploma or equivalent required. Benefits Competitive pay. Health, dental, and vision insurance options. Holiday differential. Employee discount program. Opportunities for growth a

C
📍 Fredericksburg, United States
✓ High-confidence listingCompany trend +340.2%
Quick readStrong listing-quality and freshness signals

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. We are seeking a dependable Stock Handler to join our distribution team. This role is responsible for accurately stocking and organizing merchandise within the warehouse, ensuring compliance with safety and operational standards. If you enjoy working in a fast-paced environment and value accuracy and teamwork, this is a great opportunity for you! Responsibilities Stock and organize merchandise in designated areas within the distribution center. Verify product information, lot numbers, and expiration dates when applicable. Maintain accurate inventory records using warehouse management systems (WMS). Ensure compliance with all safety and operational guidelines. Assist with general warehouse duties as needed. Qualifications Strong attention to detail and organizational skills. Ability to lift up to 50 lbs and stand for extended periods. Basic computer skills and experience with inventory systems preferred. Previous experience in stocking or warehouse operations preferred (0–2 years). Education High school diploma or equivalent required. Benefits Competitive pay. Health, dental, and vision insurance options. Holiday differential. Employee discount program. Opportunities for growth a

C
📍 Kansas City, United States
✓ High-confidence listingCompany trend +340.2%
Quick readStrong listing-quality and freshness signals

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. We are seeking a dependable Pharmacy Stock Handler to join our pharmacy distribution team. This role is responsible for accurately stocking and organizing pharmacy products, ensuring compliance with safety and regulatory standards. If you enjoy working in a fast-paced environment and value accuracy and organization, this is a great opportunity for you! Responsibilities Stock and organize pharmacy products in designated areas. Verify product information, lot numbers, and expiration dates. Maintain accurate inventory records using warehouse management systems (WMS). Ensure compliance with all safety and regulatory guidelines. Assist with general warehouse duties as needed. Qualifications Strong attention to detail and organizational skills. Ability to lift up to 50 lbs and stand for extended periods. Basic computer skills and experience with inventory systems preferred. Previous experience in pharmacy or distribution preferred (0–2 years). Education High school diploma or equivalent required. Benefits Competitive pay. Health, dental, and vision insurance options. Holiday differential. Employee discount program. Opportunities for growth and advancement. <p style="te

C
📍 Kansas City, United States
✓ High-confidence listingCompany trend +340.2%
Quick readStrong listing-quality and freshness signals

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. We are seeking a dependable Stock Handler to join our distribution team. This role is responsible for accurately stocking and organizing merchandise within the warehouse, ensuring compliance with safety and operational standards. If you enjoy working in a fast-paced environment and value accuracy and teamwork, this is a great opportunity for you! Responsibilities Stock and organize merchandise in designated areas within the distribution center. Verify product information, lot numbers, and expiration dates when applicable. Maintain accurate inventory records using warehouse management systems (WMS). Ensure compliance with all safety and operational guidelines. Assist with general warehouse duties as needed. Qualifications Strong attention to detail and organizational skills. Ability to lift up to 50 lbs and stand for extended periods. Basic computer skills and experience with inventory systems preferred. Previous experience in stocking or warehouse operations preferred (0–2 years). Education High school diploma or equivalent required. Benefits Competitive pay. Health, dental, and vision insurance options. Holiday differential. Employee discount program. Opportunities for growth a

C
📍 Monroeville, United States
✓ Quality checkedCompany trend +340.2%

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The primary responsibility of an Inventory Control Coordinator – Specialty Returns is the daily processing of patient returns. This includes evaluating both authorized and unauthorized returned patient shipments to determine if products will be credited to the patients accounts and if the products can be returned to stock, reshipped to patients, returned to the manufacturer, or destroyed. Additional responsibilities include: - Documenting daily returns by notating patient accounts and updating appropriate systems. - Monitoring pump inventory for issues and scheduled maintenance. - Receiving manufacturer replacement product and noting patient accounts. - Reviewing received manufacturer recalls and taking appropriate actions. - Supporting the Materials Management team as needed. Required Qualifications • One year experience in a pharmacy environment. • One year computer experience in a Windows based system. • Valid state pharmacy technician or technician trainee license. Preferred Qualifications • Excellent organizational skills. • Attention to detail. • Excellent communication and interpersonal skills. • Ability to work in a team environment. • Ability to work independently. • Excellent math aptitude. • Excellent problem solving skills. • Ability to lift

H
📍 Kissimmee, FL, United States
✓ High-confidence listingCompany trend +310%
Quick readStrong listing-quality and freshness signals

Become a part of our caring community CenterWell is looking for dedicated, compassionate, and experienced candidates with Medical Receptionist experience who want to grow with the company and being a part of something great! Location : CenterWell Senior Primary Care BVL office address: 2577 Simpson Road, Kissimmee, FL 34744 Medical Receptionist Role Overview: The Medical Receptionist operates a switchboard or multi-line phone and maintains long distance call logs. Take and distribute accurate messages. Greet visitors and determine the nature of their visit, issues visitor passes and maintain visitor logs, alerts appropriate party of visitor arrival or directs visitors to appropriate office, department or employee. Respond to routine inquiries from internal or external sources such as our location, hours of operation, phone numbers, and email address. Additional responsibilities may include miscellaneous administrative activities such as booking meeting rooms, typing, organizing and distributing mail, receiving and sending courier packages. Decisions are limited to defined parameters around work expectations, quality standards, priorities and timing, and works under close supervision and/or within established policies/practices and guidelines with minimal opportunity for deviation. Use your skills to make an impact Additional Information Required Qualifications Experience in a fast pace/high volume environment Minimum of 1-year professional experience as a Medical Receptionist in 'front-office' direct patient care contact Bilingual (English/Spanish) Experience with MS Outlook Basic Computer knowledge Must be a team player with excellent communication skills Willingness to learn an

Recruitment
JI
📍 North Haven, CT, United States
✓ High-confidence listingCompany trend +1800%
Quick readStrong listing-quality and freshness signals

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. RME Operator - JLL What this job involves: At JLL, we are collectively shaping a brighter way for our clients, ourselves, and our fellow employees—and nowhere is that more evident than in our operations partnership with our client . As an RME Operator, you'll be at the heart of business operations, working behind the scenes to maintain the speed, accuracy, and exceptional service they're known for worldwide. In this role, you'll combine electronic, mechanical, computer, and automation engineering skills to keep complex high-performance manufacturing systems running smoothly. You'll work with cutting-edge robotics and material handling equipment that enables tens of thousands of products to reach hundreds of customers

Artificial IntelligenceAIExcelRecruitment
JI
📍 Kenosha, WI, United States
✓ High-confidence listingCompany trend +1800%
Quick readStrong listing-quality and freshness signals

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. RME Operator - JLL What this job involves: At JLL, we are collectively shaping a brighter way for our clients, ourselves, and our fellow employees—and nowhere is that more evident than in our operations partnership with our client . As an RME Operator, you'll be at the heart of business operations, working behind the scenes to maintain the speed, accuracy, and exceptional service they're known for worldwide. In this role, you'll combine electronic, mechanical, computer, and automation engineering skills to keep complex high-performance manufacturing systems running smoothly. You'll work with cutting-edge robotics and material handling equipment that enables tens of thousands of products to reach hundreds of customers

Artificial IntelligenceAIExcelRecruitment
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