Remote AI training and data labeling jobs

Rebuild client business slides in PowerPoint from images, improve their structure, storytelling and data visuals, and log every change with its rationale, producing training data for AI. Five years at an agency or brand team expected. 15 openings, $150–350/hour.

Review contracts for risk and ambiguity, research statutes and case law, analyse regulatory compliance across jurisdictions, and write the rationales that train an AI system. Active bar admission and five years in contract law or compliance are the stated profile. Five openings, remote contractor, $60–75/hour.

Part-time contract redlining for AI training: simulated negotiations on MSAs, NDAs and DPAs, grading AI responses and writing evaluation criteria. Requires an ABA-accredited JD, active US bar admission and three years on technology contracts, firm or in-house. 100 openings at $80–130/hour.

Benchmark problems where error correction meets disordered stat mech: random-bond Ising and Ashkin-Teller models, the toric-code threshold, the Nishimori line, Kramers-Wannier duality and 4-state Potts numerics. Worldwide, part-time 5–10+ hours a week. Ten openings, contractor, $100–200/hour.

Control engineers design and tune PID, LQR, MPC and Kalman controllers in Python, model plants from first principles, and document the decisions for an AI training project. Contractor, remote, 10 openings, $30–50/hour. Five years of controller design deployed on real hardware.

Developmental and line-edit book manuscripts, write the editorial feedback and guidelines that teach an AI model how good editing works, and quality-check AI-generated editorial work. Built for editors of published books, with bestseller or award-winning credits a strong plus. $80–120/hour, 20 openings, US preferred.

Device physicists and process engineers write explanations, technical assessments and structured feedback on semiconductor physics, microfabrication, scaling and reliability for AI training. A Master's or PhD is preferred. Twenty-five openings, paid per accepted task, $66–130/hour band.

Build features, fix hard bugs and refactor legacy code inside existing open source projects, with clear write-ups of each solution, as training input for AI coding models. Expert level in two languages plus open source and competitive programming experience. 37 openings, paid per task on a $50–100/hour band.

Former HUMINT collectors, investigative interviewers and negotiators: run or assess structured interview sessions, read verbal and nonverbal cues, rate reliability and annotate sessions against a rubric to train AI. At least about 15 hours a week, US-based preferred. 10 openings, contractor, $25–65/hour.

Build, tune and evaluate ML models in Python with MongoDB-backed data pipelines for a customer AI training project, and document every experiment. Remote contractor, $80–140/hour, 35 openings. scikit-learn, TensorFlow or PyTorch plus hands-on MongoDB is the core stack.

Build, break and verify real machine learning engineering tasks: model components, reproducible training and inference workflows, memory and throughput optimisation, numerical debugging. Output-based pay, 100 openings, global remote, roughly 15 hours a week at $100–150/hour.

Run simulated contract negotiations and redlining exercises, review how an AI handles the same scenarios, and write the grading rubrics that measure it. Three years of in-house technology-transactions experience is the stated bar. Task-based pay at roughly 3.5 hours per task.

Assess adolescent eating disorder cases in writing, applying DSM-5, EDE-Q and SCOFF, judging medical stability against MEED, and saying whether FBT or CBT-E fits the clinical stage. Wants a licensed clinician with a recent adolescent caseload, and accepts paediatric medicine alongside psychiatry and psychology. Remote contractor work.

Refine CRM data models, arbitrate conflicting operational policies and document why you ruled the way you did, and design revenue workflows that hold up under vertical regulation. Four years with your hands actually in the system is the bar; the ad states outright that management-only exposure does not count. Remote contractor work.

Redline commercial agreements (MSAs, NDAs, DPAs) against established playbooks, decide the company position and the acceptable fallbacks, and write the reasoning behind every markup. Asks for a JD, active US bar admission and four years of transactional practice. Remote contractor work on a project described only as confidential.

Advise on ab initio configuration interaction calculations of polarizability, critique atomic-structure work on Yb-171 and Yb-174, and explain sigma versus pi transitions, largely through spoken AI interviews, which on this listing are the work rather than the screening. Worldwide, 5 to 10 hours a week, and the ad asks only for what you can legally share.

Run simulated contract negotiations and redlining exercises, judge how an AI handles contract scenarios, and build the grading frameworks that measure it. Three years in-house on technology transactions (MSAs, NDAs, DPAs) is the stated bar, and the ad spells out what task-based pay means: roughly 3.5 hours per task.

Review and annotate data sets on children's learning and behaviour, judge model output for developmental and cultural accuracy, and write the guidelines that shape how an AI handles the linguistic, cognitive and psychosocial sides of child development. A PhD in the field is required; research or academic background counts, with or without clinical experience.

Review case studies and simulated patient interactions for military and veteran populations, then write the expert feedback, prompts and scenarios that teach a model what good clinical practice looks like, including the cultural nuance this population expects. Asks for a completed psychiatry residency or a psychology PhD, plus direct patient care experience.

Assess adolescent substance use case material, stage severity against DSM-5 SUD and ASAM criteria, and recommend a level of care, separating developmentally normal experimentation from clinically significant patterns, and flagging withdrawal, overdose and safeguarding risks. Wants a licensed clinician with a recent adolescent caseload, not AI experience.

Read adolescent case material and write structured suicide and self-harm risk assessments, applying C-SSRS and formal risk formulation, separating ideation from intent, and recommending escalation pathways and safety planning. The output trains models meant to guide non-specialists. Wants a licensed clinician with a recent adolescent caseload, not AI experience.

Build reinforcement learning environments that test whether an AI model can fix bugs, add features, refactor code and tune performance in real repositories, then write the golden reference solution it is graded against. Public open-source contributions are the requirement, not AI experience. Remote contractor work, roughly 15 hours a week.

Solve advanced computational fluid dynamics problems (meshing, turbulence modelling, multiphase flow, heat transfer, solver setup), then judge whether AI-generated answers are engineering-sound and write up what is wrong when they are not. Three years of validated simulation work is the bar, not AI experience. Remote contractor engagement.

Build reinforcement learning environments that test whether an AI agent can fix bugs, implement features, refactor and optimise code while discovering and reasoning over information from real MCP servers. You design the reproducible environment, the deterministic verification and the golden reference solution. Remote contractor work, roughly 15 hours a week, hours of your choosing.