Senior Machine Learning Engineer
AlignerrAbout the role
Senior Machine Learning Engineer (AI Data Trainer)
About The Role
What if your deep expertise in machine learning could directly shape how the next generation of AI models think, plan, and make decisions? We're looking for Senior Machine Learning Engineers to author high-fidelity reasoning traces — structured, step-by-step records of how an AI should approach and solve complex real-world problems.
This isn't model training in the traditional sense. You'll be working at the frontier of AI development, capturing the reasoning process itself — the planning, tool use, and decision-making logic that teaches large language models to behave reliably in the wild.
This is a fully remote, flexible contract role designed for senior practitioners who want meaningful, intellectually stimulating work on their own schedule.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Author complex, high-fidelity reasoning traces that document how an LLM should plan, use tools, and arrive at decisions for sophisticated technical tasks
Design and implement data strategies that help AI models navigate intricate, real-world scenarios reliably
Review and mentor structured traces produced by others — ensuring rigorous documentation of planning steps and tool-use logic
Decompose multi-step technical problems into clear, logical, and reproducible decision paths
Collaborate with a globally distributed team working at the cutting edge of AI alignment and model training
Who You Are
Experienced machine learning practitioner with significant hands-on exposure to model reasoning, evaluation, or training methodologies
Skilled at breaking down complex, ambiguous problems into structured, step-by-step logic
Familiar with how large language models work — their strengths, failure modes, and how training data shapes their behavior
Detail-oriented and precise in how you document technical processes
Self-directed and comfortable working independently in an async, remote environment
Nice to Have
Prior experience in data annotation, data quality assurance, or AI evaluation systems
Top-tier Kaggle competition results (e.g., Grandmaster or Master level) — a strong signal of deep model intuition and feature engineering expertise
Experience contributing to LLM fine-tuning, RLHF pipelines, or related alignment workflows
Background in technical writing, research, or structured documentation
Why Join Us
Work directly with teams building some of the most advanced AI models in the world
Fully remote and async — work when and where it suits you, with 10–40 hours of weekly flexibility
Freelance autonomy paired with intellectually meaningful, high-impact work
Gain rare, hands-on exposure to how frontier LLMs are trained to reason at scale
Potential for ongoing work and contract extension as new projects launch
Responsibilities
- Author complex, high-fidelity reasoning traces for LLMs
- Design and implement data strategies for AI models
- Review and mentor structured traces produced by others
- Decompose multi-step technical problems into decision paths
- Collaborate with a globally distributed team
Qualifications
- Significant hands-on exposure to model reasoning and evaluation
- Skilled at breaking down complex problems into structured logic
- Familiar with large language models and their behavior
- Detail-oriented in documenting technical processes
- Self-directed and comfortable in an async remote environment
Benefits
- Fully remote and async work environment
- Freelance autonomy with flexible hours
- Intellectually meaningful and high-impact work
- Potential for ongoing work and contract extension
Skills mentioned
About Alignerr
We're looking for experts to help train better AI. At Alignerr, we offer paid, flexible projects for writers, coders, and subject matter experts to refine and align advanced artificial intelligence. Work when you want, where you want. Apply today at Alignerr.com or through our open Job Postings.