Your main job is to turn unstructured data into labeled training examples. Depending on the project, that might mean highlighting spans of text, drawing bounding boxes, assigning categorical labels, or ranking items by relevance.
Remote AI & Data Training Jobs in North America 2026
3159 remote jobs open to candidates in North America in AI & Data Training. Updated daily.
You will audit completed annotations produced by other team members, checking each one against the project rubric and flagging errors.
Lionbridge is currently seeking freelance English Transcribers based in the United States to collaborate on a project with one of the world's leading education companies.
Rise Data Labs is a VC-backed AI data company partnering with leading AI labs and enterprise teams to power training, evaluation, and continuous improvement for generative AI systems.
You will classify and label text, image, and mixed-media data sets that go straight into training pipelines at major AI research labs. The work is detail-heavy: every annotation you submit gets checked against a rubric before it counts.
Your job is to generate high-quality human demonstration data by playing games and simulations under controlled conditions. You will follow session protocols that specify the game, the scenario, the objectives, and the annotation requirements.
This is a remote, project-based role for data engineering professionals with 1–3 years of work experience. You will complete tasks similar to those performed in data engineering, data infrastructure, ETL development, or analytics engineering roles.
This is a remote, project-based role for data scientists and machine learning professionals with 1–3 years of work experience. You will complete tasks similar to those performed in data science, machine learning engineering, AI research, or analytics roles.
This is a remote, project-based role for corporate finance professionals with 1–3 years of work experience. You will complete tasks similar to those performed in corporate development, or FP&A.
🌟 Join Sigma.AI – Shaping the Future of Artificial Intelligence 🌍 🔹 What is Sigma? Sigma is a leading global technology company specializing in data collection and annotation for Artificial Intelligence.
Your main job is to turn unstructured data into labeled training examples. Depending on the project, that might mean highlighting spans of text, drawing bounding boxes, assigning categorical labels, or ranking items by relevance.
This is a remote, project-based role for Investment Banking or Private Equity professionals with 1–3 years of work experience. You will complete tasks similar to those performed in investment banking or private equity.
🌟 Join Sigma.AI – Shaping the Future of Artificial Intelligence 🌍 🔹 What is Sigma? Sigma is a leading global technology company specializing in data collection and annotation for Artificial Intelligence.
🌟 Join Sigma.AI – Shaping the Future of Artificial Intelligence 🌍 🔹 What is Sigma? Sigma is a leading global technology company specializing in data collection and annotation for Artificial Intelligence.
🌟 Join Sigma.AI – Shaping the Future of Artificial Intelligence 🌍 🔹 What is Sigma? Sigma is a leading global technology company specializing in data collection and annotation for Artificial Intelligence.
Your job is to generate high-quality human demonstration data by playing games and simulations under controlled conditions. You will follow session protocols that specify the game, the scenario, the objectives, and the annotation requirements.
This role is about making judgment calls on AI output quality. You will see prompts across a wide range of topics -- math, coding, creative writing, factual questions, safety scenarios -- and rate the corresponding model responses on dimensions like helpfulness, truthfulness,…
You will evaluate code generated by AI models. Each task shows you a programming prompt and one or more candidate solutions. Your job is to assess correctness, efficiency, readability, and adherence to best practices, then rank the solutions and write a brief justification.
Quality review sits between the annotation team and the client. You will sample completed batches, apply the scoring rubric, and produce accuracy reports that the project lead uses to give feedback to annotators.
This role puts you at the center of the data pipeline. You will apply annotation schemas to raw text and images so that downstream ML models can learn from clean, consistent labels.
You will sit at the intersection of AI training and human judgment. Each task presents a prompt-response pair (or set of pairs) that you evaluate against a detailed rubric covering accuracy, helpfulness, safety, and style.
AfterQuery is seeking Legal JD Experts to create and refine legal reasoning challenges for our AI training modules. In this remote, flexible role, you will design and evaluate legal scenarios that test the AI's ability to interpret and apply complex legal principles, ensuring…
No experience required. All you need is: ✔ A laptop ✔ A microphone ✔ The ability to speak naturally in your native language and understand a second language well You and another speaker will record short, everyday conversations (about 5 minutes each) on simple topics like…
No experience required. All you need is: ✔ A laptop ✔ A microphone ✔ The ability to speak naturally in your native language and understand a second language well You and another speaker will record short, everyday conversations (about 5 minutes each) on simple topics like…