Machine Learning Evaluation Specialist

Alignerr; Bengaluru; Remote; INR 1,240,000 - 2,066,000; Part time

Job summary

Alignerr Corp. is seeking an elite Machine Learning Evaluation Specialist (AI Training) to design advanced ML problems and evaluation tasks that push the boundaries of current systems. This remote, hourly contract offers 10–40 hours per week and the autonomy to set your own schedule.

You will leverage your research, publish work, and collaborate asynchronously with researchers worldwide to influence how AI models are trained, tested, and improved, making a measurable impact on the field.

Qualifications

• Graduate degree (MS or PhD) in a scientific or technical field that intersects with machine learning.
• Strong working knowledge of ML fundamentals — model selection, feature engineering, evaluation metrics, and pipeline design.
• Deeply embedded in active research problems and know where the hard edges are.
• Ability to identify where general ML knowledge falls short and domain expertise is essential.
• Experience publishing or conducting original research is highly valued.
• Clear written communication of complex ideas.
• Self-directed, curious, and thrives on challenging work.

Responsibilities

• Design complex, original ML problems rooted in your domain of expertise.
• Craft evaluation tasks that demand advanced knowledge beyond standard ML pipelines.
• Draw from your research to create challenges that would stump advanced LLMs.
• Define precise problem statements, gold-standard solutions, and robust evaluation criteria.
• Assess AI-generated ML solutions for correctness, creativity, and rigor.
• Document expected failure modes and required domain knowledge.
• Collaborate asynchronously with a global network of researchers and engineers.

Skills

ML fundamentals

Model selection

Feature engineering

Evaluation metrics

Pipeline design

Research publishing

Education

MS or PhD

Tools

Python

ML frameworks

Job description

Machine Learning Evaluation Specialist (AI Training)

About The Role

What if your years of research expertise could directly shape the trajectory of AI development? We're looking for elite machine learning specialists to design the kinds of problems that push state-of-the-art AI systems to their absolute limits — and help the field understand precisely where they break down.

This is a rare, high-impact opportunity to put your hard-earned domain knowledge to work at the frontier of AI evaluation and safety. Your contributions won't collect dust in a journal — they'll actively influence how the next generation of AI models is built, tested, 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 specialized domain of expertise
• Craft evaluation tasks that demand advanced knowledge far beyond standard ML pipelines
• Draw from your own research to create challenges that would stump even the most capable LLMs
• Define precise problem statements, gold-standard solutions, and robust evaluation criteria
• Assess AI-generated ML solutions for correctness, creativity, and methodological rigor
• Document expected failure modes, difficulty levels, and the domain knowledge required to solve each problem
• Collaborate asynchronously with a global network of top researchers and engineers

Who You Are

• You hold a graduate degree (MS or PhD) in a scientific or technical field that intersects with machine learning
• You have strong working knowledge of ML fundamentals — model selection, feature engineering, evaluation metrics, and pipeline design
• You're deeply embedded in active research problems in your field and know where the hard edges are
• You can identify precisely where general ML knowledge falls short and specialized domain expertise becomes essential
• You have experience publishing or conducting original research (highly valued)
• You communicate complex ideas with clarity and precision in writing
• You're self-directed, intellectually curious, and thrive on genuinely challenging work

Example Domains (Not Exhaustive)

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

Why Join Us

• Work at the frontier — contribute directly to AI evaluation and safety research alongside top research labs
• Make your expertise count — put your specialized knowledge to use in a way that creates real, measurable impact on how AI develops
• Full autonomy — set your own schedule and work entirely remotely on your terms
• Intellectually stimulating work — no routine tasks; every challenge requires genuine deep thinking
• Global collaboration — connect and work asynchronously with a world-class community of researchers and engineers
• Ongoing opportunity — strong performers gain access to extended contracts and deeper research involvement
• Build your profile — become a recognized contributor to cutting-edge AI development