Live opening · Posted 1 day ago

Machine Learning Engineer

Alignerr · United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyAlignerr
LocationUnited States (Remote)
Salary$50/hr - $70/hr
Work modeYes
SourceLinkedin
Listed1 day ago

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About the role

Description supplied by the original job listing.

Machine Learning Engineer (AI Data Trainer)
About The Role
What if your machine learning expertise could directly shape how AI reasons through complex problems — at a foundational level, before millions of people ever interact with it?
We're partnering with the world's leading AI research labs to improve how large language models think, plan, and act. We're looking for Machine Learning Engineers to help build the training data that teaches AI to reason like an expert — step by step, tool by tool, decision by decision.
This is a fully remote, flexible contract role designed for technical professionals who think rigorously and communicate clearly.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Design and document precise, step-by-step reasoning workflows for sophisticated technical challenges
Record how an expert strategizes, selects tools, and makes decisions when solving real-world ML problems
Produce high-quality training datasets that demonstrate proficient, structured problem-solving for AI models
Audit and refine AI-generated reasoning traces — identifying gaps, errors, and logical inconsistencies
Translate complex technical processes into clear, well-organized logs that AI systems can learn from
Who You Are
Professional background in Machine Learning, Software Engineering, or a related technical discipline
Able to break down intricate reasoning and methodology into clear, sequential steps
Strong critical thinker — you can spot flawed logic and know how to correct it
Detail-oriented and consistent, with a systematic approach to documentation
Comfortable working independently and asynchronously on task-based projects
Master's Degree or PhD in a relevant field
Nice to Have
Prior experience with data annotation, data labeling, or AI evaluation workflows
Familiarity with how large language models are trained or fine-tuned
Background in prompt engineering, RLHF, or AI alignment research
Experience working across multiple ML domains — NLP, computer vision, reinforcement learning, etc.
Why Join Us
Work directly on cutting-edge AI projects alongside top research labs and AI teams
Fully remote and flexible — structure your work around your schedule
Gain rare, behind-the-scenes exposure to how state-of-the-art LLMs are trained and improved
Freelance autonomy with meaningful, intellectually stimulating work
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes

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