Senior Machine Learning Expert

Alignerr Corp.; New Zealand; Remote; NZD 193,000 - 331,000; Part time

Job summary

Alignerr is seeking a Senior Machine Learning Expert (AI Training) to author high‑fidelity reasoning traces teaching LLMs how to think step by step. This fully remote, hourly contract role offers flexible hours and a chance to shape advanced AI reasoning in collaboration with leading research labs.

You will work asynchronously to deliver independent, high‑quality technical work. The role emphasizes deep ML expertise, structured problem solving, and clear documentation, with opportunities for

Qualifications

• Extensive experience in machine learning or AI research with hands-on work on real models.
• Ability to design and document high-quality reasoning traces for LLMs.
• Familiarity with evaluation methodologies for LLMS and model analysis.
• Proven capability to work asynchronously and deliver independent contributions.

Responsibilities

• Author complex, high-fidelity reasoning traces to guide LLMs in planning and decision making.
• Design structured decision‑making workflows reflecting senior technical thinking.
• Review and provide expert feedback on traces produced by others for clarity and rigor.
• Develop data strategies to help LLMs navigate multi-step scenarios.
• Collaborate with a global team and contribute to AI research labs.

Skills

Machine learning

AI research

Structured thinking

Clear communication

Independent work

Tools

Kaggle

ML infrastructure

Reinforcement learning

Evaluation methodologies

Job description

Senior Machine Learning Expert (AI Training)

What if your deep expertise in machine learning could directly determine how the next generation of AI systems reason, plan, and make decisions? We're looking for Senior Machine Learning Experts to author the high-fidelity reasoning traces that teach large language models how to think — step by step, decision by decision.

Senior Machine Learning Expert (AI Training)

About The Role

What if your deep expertise in machine learning could directly determine how the next generation of AI systems reason, plan, and make decisions? We're looking for Senior Machine Learning Experts to author the high-fidelity reasoning traces that teach large language models how to think — step by step, decision by decision. This is a fully remote, flexible contract role built for experienced ML practitioners who want to work at the frontier of AI development. Your work won't just support AI research — it will actively shape how models reason through complex, real-world problems.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Author complex, high-fidelity reasoning traces that capture how an LLM should plan, use tools, and make decisions across sophisticated technical tasks
• Design and document structured decision‑making workflows that reflect senior‑level architectural thinking
• Review and provide expert feedback on reasoning traces produced by other contributors to ensure clarity, logical rigor, and quality
• Develop data strategies that help LLMs navigate intricate, multi‑step real‑world scenarios
• Collaborate with a global team working directly alongside leading AI research labs
• Complete task‑based assignments independently and asynchronously on your own schedule

Who You Are

• Experienced in machine learning, AI research, or a closely related technical field — you've worked with models at depth, not just in theory
• Skilled at decomposing complex problems into clear, structured, logical steps that others can follow and models can learn from
• Familiar with advanced LLM evaluation and training methodologies
• Detail‑oriented and rigorous — you hold yourself to a high standard of technical accuracy
• A clear communicator who can translate expert‑level reasoning into well‑documented, readable traces
• Comfortable working independently with minimal supervision in an async environment

Nice to Have

• Prior experience with data annotation, data quality assurance, or AI evaluation systems
• Top‑tier Kaggle competition results (Grandmaster or Master level) demonstrating exceptional model understanding and feature engineering
• Background in ML infrastructure, model architecture, or reinforcement learning
• Experience mentoring or reviewing technical work produced by other contributors

Why Join Us

• Work directly on cutting‑edge AI projects in collaboration with the world's leading research labs
• Fully remote and flexible — structure your hours around your life, not the other way around
• Freelance autonomy with the depth and meaning of high‑stakes technical work
• Make a tangible, lasting impact on how AI models reason and behave in the real world
• Potential for ongoing work and contract extension as new projects launch