Job Title
ML Engineer Specialist – AI Trainer
Employment Type
Contract
Workplace
Remote
Seniority Level
Mid‑Senior Level
Responsibilities
- Solve applied ML tasks: iterating on problems that test and improve model reasoning, from baseline solutions to optimized workflows.
- Evaluate scientific writing: compare research abstracts and introductions using review rubrics (e.g., NeurIPS guidelines) for clarity, correctness, and impact.
- Debug advanced model behavior: probe LLMs on optimization, fairness, regularization, transformers, and applied NLP, documenting failure modes.
- Design new benchmark tasks: identify datasets, analyze state‑of‑the‑art papers, build evaluation scripts, and provide reference implementations.
- Improve training datasets: deliver structured feedback that makes AI outputs more accurate, reliable, and useful.
Qualifications
- Strong background in machine learning, NLP, or data science.
- Experience with supervised/unsupervised learning, deep learning, reinforcement learning, probabilistic modeling, and applied NLP.
- Proficiency in Python, ML frameworks, and cloud-based workflows.
- Master’s or PhD in CS/ML/data science preferred; peer‑reviewed research or production ML systems a strong plus.
- Clear communication skills, able to explain reasoning and “show your work.”
Benefits & Pay
Pay range: $30‑$50 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location.
Final offer amounts may vary from the pay range listed above.
As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.
Remote, contract‑based work with autonomy to set your schedule.
Why Join
- Turn your ML problem‑solving into real‑world impact: your work trains and strengthens cutting‑edge AI.
- Be part of novel AI training initiatives: evaluating models, shaping datasets, and designing challenges at the research frontier.
- Enjoy flexibility: remote, contract‑based work with autonomy to set your schedule.
Ready to Apply
Ready to turn your machine learning expertise into the knowledge base for tomorrow’s AI?
Apply today and start teaching the model that will teach the world.
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