Senior Machine Learning Expert

Alignerr; Sydney; A distancia; AUD 207.000 - 344.000; A tiempo parcial

Descripción de la vacante

Alignerr is seeking a Senior Machine Learning Expert to author high-fidelity reasoning traces that guide how an LLM should plan, reason, and act step by step. This remote contract role emphasizes independent, asynchronous work on advanced AI problems.

You will design structured traces, review others' work for quality, and develop data strategies to improve model reasoning and reliability. Strong background in ML evaluation/training and RLHF workflows is preferred.

Formación

• Experienced ML engineer or researcher with a strong background in model reasoning, evaluation, or training.
• Skilled at breaking down complex technical problems into clear, structured steps.
• Familiar with advanced LLM evaluation and training methodologies.
• Detail‑oriented with a systematic approach and comfort working asynchronously in a remote environment.

Responsabilidades

• Author high-fidelity reasoning traces that guide LLM planning, reasoning, and action step by step.
• Design structured traces documenting tool use, decision making, and problem decomposition.
• Review traces authored by others to ensure quality and consistency.
• Develop data strategies to help LLMs navigate real‑world scenarios with accuracy and dependability.
• Apply senior ML architectural insights to improve model reasoning across open‑ended tasks.

Conocimientos

Machine Learning

LLM evaluation

Problem decomposition

Independent work

Herramientas

Kaggle

Data labeling tools

Descripción del empleo

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 through complex problems? We're looking for Senior Machine Learning Experts to author high-fidelity reasoning traces — the structured, step‑step thinking patterns that teach LLMs to plan, use tools, and make reliable decisions in real-world scenarios.

This is a fully remote, flexible contract role built for senior ML professionals who want to do meaningful, intellectually stimulating work on the cutting edge of AI development.

• 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, reason, and act step by step across sophisticated technical tasks
• Design structured traces that document tool use, decision‑making, and problem decomposition in clear, logical detail
• Review and provide expert feedback on traces authored by others, ensuring quality, consistency, and reliability
• Develop data strategies that help LLMs navigate intricate real‑world scenarios with greater accuracy and dependability
• Apply senior‑level ML architectural insights to improve how models reason across challenging, open‑ended problems

Who You Are

• Experienced machine learning engineer or researcher with a strong background in model reasoning, evaluation, or training
• Skilled at breaking down complex technical problems into clear, structured, logical steps
• Familiar with advanced LLM evaluation and training methodologies
• Detail‑oriented with a systematic approach — you care about getting things precisely right
• Comfortable working independently and asynchronously in a remote, task‑based environment

Nice to Have

• Prior experience with data annotation, data quality systems, or AI evaluation pipelines
• Top‑tier Kaggle competition results (Grandmaster or Master level) demonstrating deep understanding of model performance and feature engineering
• Hands‑on experience designing or auditing training datasets for large language models
• Background in AI safety, alignment research, or RLHF workflows

Why Join Us

• Work on frontier AI projects in collaboration with the world's leading AI research labs
• Fully remote and flexible — work when and where it suits you, at 10–40 hours per week
• Freelance autonomy with intellectually rich, high‑impact work that goes far beyond typical contract gigs
• Direct, tangible influence on how the next generation of LLMs thinks, plans, and reasons
• Exposure to advanced model training methodologies at the forefront of the industry
• Potential for ongoing work and contract extension as new projects launch