Senior Machine Learning Expert

Careers; Auckland; Remoto; NZD 83.000 - 165.000; Part-time

Descrizione del lavoro

Alignerr is seeking a Senior Machine Learning Expert to author high-fidelity reasoning traces that guide how AI systems plan and decide. You will work remotely on an hourly contract, contributing architectural thinking to complex tasks, and shaping how models reason in real‑world contexts.

Ideal candidates decompose multi-step problems, understand LLM evaluation, and collaborate asynchronously with a global team.

Competenze

• Deep experience in machine learning, AI systems, or a closely related technical field.
• Ability to decompose complex, multi-step problems into clear, logical, and well-documented processes.
• Familiar with LLM evaluation methodologies, training pipelines, or model behavior analysis.
• Naturally rigorous; you think in systems, catch edge cases, and document reasoning precisely.
• Comfortable working independently and asynchronously without hand-holding.

Mansioni

• Author high-fidelity reasoning traces with step-by-step planning, tool use, and decision‑making.
• Design data strategies to help LLMs navigate real-world tasks reliably.
• Review and mentor traces to ensure accurate documentation of planning and tool‑use.
• Apply senior architectural insight to ensure traces reflect sound model decision‑making.
• Collaborate asynchronously with a global AI research team.

Conoscenze

Machine learning

AI systems

Problem decomposition

Independent work

LLM evaluation

Strumenti

Kaggle

RLHF frameworks

Descrizione del lavoro

Senior Machine Learning Expert (AI Training)

About The Role

What if your deep expertise in machine learning could directly shape how the world's most advanced AI systems reason, plan, and make decisions? We're looking for Senior Machine Learning Experts to author high-fidelity reasoning traces --- the structured, step-by-step records of how an AI thinks through complex real-world tasks.

This isn't annotation work. This is architecture-level thinking applied to one of the hardest problems in AI: teaching models to reason reliably. If you understand how LLMs work under the hood and can decompose sophisticated problems into clear, logical steps, this role was built for you.

This is a fully remote, flexible contract role. Work on your schedule, from anywhere.

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

What You'll Do

• Author complex, high-fidelity reasoning traces that capture step-by-step planning, tool use, and decision-making for sophisticated technical tasks
• Design data strategies that help LLMs navigate intricate real-world scenarios with greater reliability
• Review and mentor structured traces to ensure optimal documentation of planning and tool-use sequences
• Apply senior-level architectural insight to ensure traces reflect sound, verifiable model decision-making
• Collaborate asynchronously with a global team working at the frontier of AI development

Who You Are

• Deeply experienced in machine learning, AI systems, or a closely related technical field
• Able to decompose complex, multi-step problems into clear, logical, and well-documented processes
• Familiar with LLM evaluation methodologies, training pipelines, or model behavior analysis
• Naturally rigorous --- you think in systems, catch edge cases, and document your reasoning precisely
• Comfortable working independently and asynchronously without hand-holding

Nice to Have

• Prior experience with data annotation, data quality pipelines, or AI evaluation systems
• Top-tier Kaggle results (Grandmaster or Master level) demonstrating elite model performance and feature engineering skills
• Experience with RLHF, chain-of-thought prompting, or agent-based LLM frameworks
• Background in AI safety, interpretability, or alignment research

Why Join Us

• Work directly with leading AI research labs on some of the most consequential problems in the field
• Fully remote and flexible --- structure your work around your life, not the other way around
• Freelance autonomy with the substance of meaningful, high-impact technical work
• Contribute to training data that shapes how the next generation of AI models think and reason
• Potential for contract extension as new projects launch