Senior ML Engineer: AI Data Trainer (Remote Contract)

Alignerr Corp.; Sydney; Remote; AUD 118,000 - 157,000; Part time

Benefits offered by this job

Autonomy

Flexibility

Global collaboration

Job summary

Alignerr is seeking a Senior Machine Learning Engineer - AI Data Trainer to work remotely with our AI teams. You will lead the authorship of high-fidelity reasoning traces for complex tasks and mentor others to ensure clear planning and tool-use documentation.

You will design data strategies to help LLMs navigate real-world decision making, and you may engage in data annotation, evaluation, and model training workflows. This is an hourly contract, 10-40 hours/week, with flexible remote work.

Qualifications

• Significant experience in Machine Learning or related technical fields, with a focus on model reasoning.
• Proven ability to decompose complex problems into clear, logical, and documented steps.
• Experience with advanced LLM evaluation and training methodologies.
• Prior experience with data annotation, data quality, or evaluation systems.
• Top-tier Kaggle competition results (e.g., Grandmaster/Master level), demonstrating a deep understanding of model performance and feature engineering.

Responsibilities

• Lead the authorship of complex, high-fidelity reasoning traces for sophisticated technical tasks.
• Mentor and review structured traces to ensure optimal planning and tool-use documentation.
• Design data strategies that help LLMs navigate intricate real-world decision-making scenarios.

Skills

Machine learning

Model reasoning

Problem decomposition

LLM evaluation

Training methodologies

Kaggle competition

Tools

Kaggle

Job description

Alignerr is seeking a Senior Machine Learning Engineer - AI Data Trainer to work remotely with our AI teams. You will lead the authorship of high-fidelity reasoning traces for complex tasks and mentor others to ensure clear planning and tool-use documentation.

You will design data strategies to help LLMs navigate real-world decision making, and you may engage in data annotation, evaluation, and model training workflows. This is an hourly contract, 10-40 hours/week, with flexible remote work.