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