At a Glance
- Tasks: Design challenging ML evaluation problems that push AI boundaries and assess solutions for correctness.
- Company: Join Alignerr, a leader in AI evaluation and safety research.
- Benefits: Earn $200–$400/hour with flexible remote work and potential for ongoing projects.
- Other info: Collaborate globally with top researchers and enjoy full autonomy in your work.
- Why this job: Make a real impact in AI development using your domain expertise.
- Qualifications: Graduate-level expertise in a scientific domain and strong ML knowledge required.
The predicted salary is between 40000 - 80000 € per year.
We’re looking for domain experts with strong machine learning backgrounds to design challenging ML evaluation problems that test the boundaries of state‑of‑the‑art AI systems. You’ll draw on your specialized research expertise to craft problems that go beyond textbook knowledge – the kind of challenges that require deep, nuanced domain understanding to solve correctly. Your work directly shapes how we measure and improve the next generation of AI models.
Job Details
- Organization: Alignerr
- Type: Hourly Contract
- Compensation: $200–$400 /hour
- Location: Remote
- Commitment: 10–40 hours/week
What You’ll Do
- Propose complex, original machine learning problems rooted in your domain of expertise
- Design evaluation tasks that require advanced domain knowledge beyond standard ML pipelines
- Draw from your own research experience to craft problems that would challenge a highly capable LLM
- Define clear problem statements, evaluation criteria, and gold‑standard solutions
- Assess AI‑generated ML 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 domain that intersects with machine learning
- Strong working knowledge of ML methods – model selection, feature engineering, evaluation metrics, and pipeline design
- Deep familiarity with active research problems in your field
- Ability to identify where general ML knowledge falls short and specialized domain insight becomes critical
- Experience publishing or conducting original research is highly valued
- Excellent written communication – able to articulate complex problems clearly and precisely
- Self‑motivated and comfortable working independently on intellectually demanding tasks
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
- Natural language processing for low‑resource or specialized corpora
- Robotics, control theory, or reinforcement learning in complex environments
- Financial modeling and quantitative analysis
Why Join Us
- Work at the frontier of AI evaluation and safety research
- Collaborate with top research labs pushing the boundaries of what AI can do
- Leverage your hard‑earned domain expertise in a high‑impact, meaningful way
- Full autonomy, flexible schedule, and global collaboration
- Potential for ongoing work, contract extension, and deeper research involvement
- Build your profile as a contributor to cutting‑edge AI development
Application Process (Takes 10–15 min)
- Submit your resume highlighting your domain expertise and ML experience
- Complete a short screening assessment
- Project matching and onboarding
Our team reviews applications daily. Please complete your application steps to be considered for this opportunity.
Machine Learning Evaluation Specialist employer: Alignerr
Alignerr is an exceptional employer for Machine Learning Evaluation Specialists, offering the unique opportunity to work at the forefront of AI evaluation and safety research. With a fully remote setup, you can enjoy full autonomy and a flexible schedule while collaborating with top research labs globally. The company values your domain expertise, providing meaningful work that has a high impact on the future of AI, along with potential for ongoing projects and deeper involvement in cutting-edge research.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Evaluation Specialist
✨Tip Number 1
Network like a pro! Reach out to your connections in the machine learning field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Show off your expertise! Create a portfolio showcasing your previous work, research, or any complex ML problems you've tackled. This will help you stand out and demonstrate your deep understanding of the domain.
✨Tip Number 3
Stay active in the community! Join forums, attend webinars, or participate in hackathons related to machine learning. Engaging with others in the field can lead to job opportunities and collaborations.
✨Tip Number 4
Don't forget to apply through our website! It’s quick and easy, and we review applications daily. Make sure to highlight your unique skills and experiences that align with the role of Machine Learning Evaluation Specialist.
We think you need these skills to ace Machine Learning Evaluation Specialist
Some tips for your application 🫡
Showcase Your Expertise:Make sure your resume highlights your domain expertise and machine learning experience. We want to see how your background aligns with the role, so don’t hold back on those impressive projects or research!
Craft a Clear Problem Statement:When you’re filling out your application, think about how you would define a complex ML problem. We love clarity, so articulate your thoughts in a way that showcases your understanding of nuanced challenges in your field.
Be Yourself:Let your personality shine through in your written application. We’re looking for self-motivated individuals who can work independently, so don’t be afraid to express your unique approach to problem-solving!
Apply Through Our Website:Remember to complete your application steps on our website! It’s the best way for us to review your application quickly, and we check them daily, so get yours in as soon as you can!
How to prepare for a job interview at Alignerr
✨Showcase Your Domain Expertise
Make sure to highlight your specific domain knowledge during the interview. Prepare examples from your research or past projects that demonstrate how your expertise can contribute to designing complex ML evaluation problems.
✨Understand the Role's Requirements
Familiarise yourself with the job description and the key responsibilities. Be ready to discuss how your skills in model selection, feature engineering, and evaluation metrics align with the expectations of the role.
✨Prepare Thought-Provoking Questions
Think of insightful questions to ask about the company's current challenges in AI evaluation. This shows your genuine interest in the role and helps you assess if the position aligns with your career goals.
✨Communicate Clearly and Confidently
Practice articulating complex ideas in a clear and concise manner. Since excellent written communication is crucial, consider doing mock interviews to refine your ability to explain intricate concepts effectively.
