Machine Learning Evaluation Specialist

Alignerr Corp.; Toronto; Remote; CAD 83,000 - 165,000; Part time

Job summary

Alignerr is seeking domain experts with deep machine learning knowledge to design evaluation challenges that push state-of-the-art AI systems to their limits. This remote, hourly contract offers 10–40 hours per week and the chance to influence how AI models are measured, trained, and improved, by writing clear problem statements, evaluation criteria, and gold‑standard solutions.

Join a global team of researchers and engineers and help shape the future of AI evaluation research while enjoying

Qualifications

• Graduate-level expertise in ML intersecting with scientific/technical discipline.
• Strong working knowledge of ML methods: model selection, feature engineering, evaluation metrics, and pipeline design.
• Experience publishing or conducting original research is highly valued.
• Excellent written communication and ability to articulate complex problems clearly.
• Self-motivated and energized by independent work.

Responsibilities

• Design complex, original machine learning problems rooted in your area of domain expertise.
• Create evaluation tasks that demand advanced knowledge beyond standard ML pipelines.
• Draw from your research to craft challenges that test highly capable AI models.
• Write clear problem statements, define evaluation criteria, and establish gold-standard solutions.
• Assess AI-generated solutions for correctness, creativity, and methodological rigor.
• Document problem difficulty, domain knowledge, and expected failure modes.
• Collaborate asynchronously with a global team of researchers and engineers.

Skills

ML methods knowledge

Research experience

Communication skills

Independent work

Education

MS or PhD preferred

Job description

About The Role

What if your years of hard-earned research expertise could directly shape the future of AI? We're looking for domain experts with deep machine learning knowledge to design evaluation challenges that push state-of-the-art AI systems to their limits — the kind of problems only a true specialist could craft.

Your work won't sit in a drawer. It directly influences how the next generation of AI models are measured, trained, and improved.

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

What You'll Do

• Design complex, original machine learning problems rooted in your area of domain expertise
• Create evaluation tasks that demand advanced knowledge well beyond standard ML pipelines
• Draw from your own research experience to craft challenges that genuinely test highly capable AI models
• Write clear problem statements, define evaluation criteria, and establish gold-standard solutions
• Assess AI-generated solutions for correctness, creativity, and methodological rigor
• Document problem difficulty, required domain knowledge, and expected failure modes
• Collaborate asynchronously with a global team of researchers and engineers

Who You Are

• Graduate-level expertise (MS or PhD preferred) in a scientific or technical discipline that intersects with machine learning
• Strong working knowledge of ML methods — model selection, feature engineering, evaluation metrics, and pipeline design
• Deep familiarity with active, open research problems in your field
• A sharp eye for where general ML knowledge breaks down and specialized domain insight becomes essential
• Experience publishing or conducting original research is highly valued
• Excellent written communication — you can articulate complex, nuanced problems with precision and clarity
• Self-motivated and energized by intellectually demanding, independent work

Example Domains

We welcome experts from a wide range of fields, including but not limited to:

• Computational biology, genomics, or bioinformatics
• Climate science and environmental modeling
• Medical imaging and healthcare ML
• Materials science and computational chemistry
• Astrophysics and signal processing
• Natural language processing for low-resource or specialized corpora
• Robotics, control theory, or reinforcement learning in complex environments
• Financial modeling and quantitative analysis

If your domain sits at the frontier of ML research, we want to hear from you.

Why Join Us

• Work at the cutting edge — your challenges help define the boundaries of what AI can and cannot do
• Make a real impact — your expertise directly shapes AI safety and evaluation research
• Full autonomy — work on your own schedule, from anywhere in the world
• Flexible commitment — scale hours up or down based on your availability
• Ongoing opportunity — strong contributors are considered for contract extensions and deeper research involvement
• Build your profile — establish yourself as a contributor to frontier AI development alongside top research labs