Senior ML Engineer — AI Reasoning & Training (Remote)

Alignerr Corp.; United States; Remote; CAD 96,000 - 179,000; Part time

Benefits offered by this job

Fully remote

Flexible hours

Freelance autonomy

Contract extension opportunities

Job summary

Alignerr Corp. is seeking a Senior Machine Learning Engineer (AI Training) to author high-fidelity reasoning traces that teach AI models how to plan, use tools, and decide step-by-step. This fully remote, hourly contract role offers flexible hours and meaningful impact.

You will craft data strategies, review traces for quality, and contribute to frontier AI research. Ideal for senior ML practitioners with experience in structured reasoning and model evaluation.

Qualifications

• Experienced ML practitioner with hands-on expertise in ML or DL.
• Skilled at decomposing complex problems into structured, traceable reasoning steps.
• Familiar with LLM evaluation methodologies, training pipelines, or model behavior analysis.
• Detail-oriented and rigorous with precision in logic and documentation.
• Self-directed and comfortable working independently in an asynchronous environment.

Responsibilities

• Author complex, high-fidelity reasoning traces guiding LLM planning and tool use.
• Break down sophisticated problems into clear, logical, well-documented reasoning chains.
• Design and document data strategies aiding LLMs in real-world scenarios.
• Review traces to ensure optimal planning and decision-making quality.
• Contribute to training data to improve AI model reasoning and behavior.

Skills

Machine learning

Deep learning

Problem decomposition

LLM evaluation methodologies

Documentation quality

Independent work

Traceable reasoning

Tools

Python

Job description

Alignerr Corp. is seeking a Senior Machine Learning Engineer (AI Training) to author high-fidelity reasoning traces that teach AI models how to plan, use tools, and decide step-by-step. This fully remote, hourly contract role offers flexible hours and meaningful impact.

You will craft data strategies, review traces for quality, and contribute to frontier AI research. Ideal for senior ML practitioners with experience in structured reasoning and model evaluation.