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Data Science alignerr

Machine Learning Evaluation Specialist

Alignerr β€’ Remote β€’ Posted 23 days ago

Education

Any

Type

Pay Rate

$300/task

Posted

23d ago

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About this Role

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

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 β€” 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

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

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

Requirements

  • Fluent proficiency in English (Written & Verbal)
  • Reliable high-speed internet connection
  • Bachelor's degree or equivalent professional experience
  • Demonstrated expertise in Data Science

Compensation Analysis

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 β€” the kind of problems only a true specialist could craft. Your work won't sit in a drawer. It directl

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Frequently Asked Questions

What is the assessment actually like?

Notoriously strict. Alignerr uses TestGorilla for role-specific timed tests β€” a blank coding environment for engineers, rigorous grammar and fact-checking for writers. There is almost no hand-holding. The critical catch: this is essentially a one-shot process. Fail or abandon the assessment, and you are typically locked out of that role permanently with no option to retake.

How quickly can I start earning after I pass?

Not immediately. Even after passing the assessment and completing identity verification (via Persona) and billing setup (via Deel), you may sit in a waiting pool for weeks or months. You only start earning when a project matching your specific skills launches and you are officially assigned. Do not plan around Alignerr income until you are actively on a project.

Is there a community?

Yes β€” and it is one of Alignerr's genuine strengths. Once assigned to a project, you are added to Slack channels where you can ask questions, get rubric clarifications from admins, and talk to other AI trainers. This is rare in AI training and makes a real difference when guidelines are ambiguous or change mid-project.

Is this traditional consulting?

Not exactly. You act as a "Teacher" for advanced AI. Instead of client deliverables, you are given complex scenarios to evaluate. You grade the AI's logic, correct its hallucinations, and provide expert-level reasoning. Your job is to train the model to think like you do.

Why is the pay so high?

This role requires deep, verified expertise. General knowledge isn't enough; the model is specifically being trained on "edge cases"β€”the rare, difficult, or highly technical nuances that only a senior professional would know.

What is the workload like?

This is cognitive, deep work. Unlike simple data labeling, you might spend 45-60 minutes on a single task, researching citations or verifying complex calculations. Quality is prioritized over speed.

What is the barrier to entry?

Alignerr is known for difficult technical assessments. You must pass a timed test in your specific domain (e.g., Python, Physics, or Language) before you are eligible for any paid projects.