Senior Machine Learning Expert
Alignerr • Remote
Education
Any
Type
Pay Rate
$70/task
Listed
Today
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About this Role
What You'll Do
- Author complex, high-fidelity reasoning traces that capture how an LLM should plan, reason, and take action step by step across sophisticated technical tasks
- Design and document decision-making workflows that reflect real-world problem-solving — including tool use, multi-step planning, and error recovery
- Review and mentor reasoning trace quality to ensure logical consistency, clarity, and optimal structure
- Develop data strategies that help LLMs navigate intricate, ambiguous, and high-stakes scenarios reliably
- Apply your architectural knowledge of ML systems to produce training data that meaningfully improves model performance
About the Role
What if your deep expertise in machine learning could directly determine how the next generation of AI systems reason through complex problems? We're looking for Senior Machine Learning Experts to author high-fidelity reasoning traces — the structured, step-by-step thought processes that teach large language models how to plan, use tools, and make reliable decisions in the real world. This is a fully remote, flexible contract role built for senior-level ML professionals who thrive on intellectually demanding work and want their expertise to leave a lasting mark on frontier AI.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
Who You Are
- Deeply experienced in machine learning, AI research, or a closely related technical field
- Able to decompose complex, multi-step problems into clear, structured, and logical reasoning chains
- Familiar with how large language models are trained, evaluated, and improved
- Sharp, methodical, and precise — you think carefully about edge cases and failure modes
- A strong written communicator who can document technical reasoning in a clear, structured format
- Self-directed and comfortable working independently without close supervision
Nice to Have
- Prior experience with data annotation, data quality assurance, or model evaluation pipelines
- Top-tier Kaggle competition results (Grandmaster or Master level) demonstrating advanced understanding of model performance and feature engineering
- Hands-on experience designing or evaluating LLM benchmarks, RLHF datasets, or reasoning datasets
- Background in AI safety, interpretability, or alignment research
Why Join Us
- Work directly with leading AI research labs on frontier model development
- Fully remote and flexible — work on your own schedule, from anywhere in the world
- Freelance autonomy with access to some of the most consequential AI work happening today
- Gain rare, hands-on exposure to how cutting-edge LLMs are trained and improved at the reasoning level
- Potential for ongoing work and contract extension as new projects launch
Requirements
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in Data Science
Compensation Analysis
What if your deep expertise in machine learning could directly determine how the next generation of AI systems reason through complex problems? We're looking for Senior Machine Learning Experts to author high-fidelity reasoning traces — the structured, step-by-step thought processes that teach large language models how to plan, use tools, and make
Skills & Categories
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Frequently Asked Questions
What is the assessment actually like?
Notoriously strict. Alignerr uses TestGorilla for role-specific timed tests — a blank coding environment for engineers, rigorous grammar and fact-checking for writers. There is almost no hand-holding. The critical catch: this is essentially a one-shot process. Fail or abandon the assessment, and you are typically locked out of that role permanently with no option to retake.
How quickly can I start earning after I pass?
Not immediately. Even after passing the assessment and completing identity verification (via Persona) and billing setup (via Deel), you may sit in a waiting pool for weeks or months. You only start earning when a project matching your specific skills launches and you are officially assigned. Do not plan around Alignerr income until you are actively on a project.
Is there a community?
Yes — and it is one of Alignerr's genuine strengths. Once assigned to a project, you are added to Slack channels where you can ask questions, get rubric clarifications from admins, and talk to other AI trainers. This is rare in AI training and makes a real difference when guidelines are ambiguous or change mid-project.
What does the work actually look like?
It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.
How flexible is the schedule?
Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.
Is there an interview?
Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.
What is the barrier to entry?
Alignerr is known for difficult technical assessments. You must pass a timed test in your specific domain (e.g., Python, Physics, or Language) before you are eligible for any paid projects.