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Senior Machine Learning Expert
Job summary
A cutting-edge AI company is seeking a Senior Machine Learning Engineer - AI Data Trainer to work on advanced AI projects remotely. This role involves leading the creation of reasoning traces for AI models, mentoring team members, and designing strategies to enhance decision-making in complex scenarios. The ideal candidate has significant Machine Learning experience, strong problem-solving skills, and familiarity with LLM evaluation methodologies. This position offers competitive pay and flexible working hours.
Benefits
Qualifications
- Significant experience in Machine Learning or related technical fields.
- Proven ability to decompose complex problems into clear steps.
- Experience with advanced LLM evaluation methodologies.
Responsibilities
- Lead the authorship of high-fidelity reasoning traces.
- Mentor and review structured traces for documentation.
- Design data strategies for decision-making scenarios.
Skills
Location: Remote
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting‑edge AI models. This project is about capturing how an LLM reasons and takes actions step by step to solve real tasks. Annotators write clear, structured traces that show planning, tool use, and decision making, creating data that trains models to reason more reliably in real world scenarios.
Alignerr – Position: Senior Machine Learning Engineer - AI Data Trainer – Type: Hourly Contract – Compensation: $60–$80 /hour – Location: Remote – Commitment: 10–40 hours/week
- Lead the authorship of complex, high‑fidelity reasoning traces for sophisticated technical tasks.
- Mentor and review structured traces to ensure optimal planning and tool‑use documentation.
- Design data strategies that help LLMs navigate intricate real‑world decision‑making scenarios.
- Significant experience in Machine Learning or related technical fields, with a focus on model reasoning.
- Proven ability to decompose complex problems into clear, logical, and documented steps.
- Experience with advanced LLM evaluation and training methodologies.
- Prior experience with data annotation, data quality, or evaluation systems.
- Top‑tier Kaggle competition results (e.g., Grandmaster/Master level), demonstrating a deep understanding of model performance and feature engineering.
- Competitive pay and flexible remote work.
- Collaborate with a team working on cutting‑edge AI projects.
- Exposure to advanced LLMs and how they’re trained.
- Freelance perks: autonomy, flexibility, and global collaboration.
- Potential for contract extension.
- Submit your resume
- Complete a short screening
- Project matching and onboarding
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.