Senior Machine Learning Expert

Alignerr Corp.

Nova Zelândia

Teletrabalho

NZD 165 000 - 248 000

Tempo integral

há 31 horas
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Resumo da oferta

Alignerr is seeking a Senior Machine Learning Expert (AI Training) to author high‑fidelity reasoning traces that teach how an LLM should plan, use tools, and decide. This remote, hourly contract offers 10–40 hours per week and collaboration with leading AI research labs.

You will design structured decision-making workflows, review traces for clarity and rigor, and develop data strategies for multi‑step scenarios while working independently in an async environment.

Qualificações

  • Experience in ML/AI research with hands-on model work.
  • Ability to decompose problems into structured, logical steps.
  • Familiar with LLM evaluation and training methodologies.
  • Detail-oriented with high technical accuracy.
  • Clear communication for well-documented traces.

Responsabilidades

  • Author high-fidelity reasoning traces for LLM planning and decision-making.
  • Design and document structured decision-making workflows for senior architectural thinking.
  • Review and provide expert feedback on traces from other contributors.
  • Develop data strategies to navigate multi-step real-world scenarios.
  • Collaborate with a global team working with leading AI labs.
  • Complete tasks independently and asynchronously.

Conhecimentos

Machine learning
AI research
Problem decomposition
LLM evaluation
Communication

Ferramentas

ML frameworks

Descrição da oferta de emprego

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.

  • 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
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