STEM PhD Qualifier Contributor | AI Training Data
Alignerr • Remote • Posted 21 days ago
Education
Any
Type
Pay Rate
$45/task
Posted
21d ago
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About this Role
What You'll Do
- Submit one complete PhD qualifying exam per submission, paired with full worked solutions
- Ensure all problems from the exam are included in their original wording — no paraphrasing or modifications
- Provide fully worked-out solutions for every problem at a level another PhD student in the field could follow
- Populate all required metadata fields accurately (university, department, exam year, structure, problem count)
- Package your submission as a single, clearly organized PDF
- Confirm you have the rights to share the material
About the Role
Toronto and the broader Ontario corridor are home to world-class STEM doctoral programmes — from the University of Toronto and Waterloo to McMaster and Western. If you went through a PhD programme at any accredited institution and still have your qualifying exam materials saved, you can turn them into income with very little extra work. We're looking for PhD graduates and current doctoral candidates in STEM fields to submit real qualifying exams that will be used to evaluate and train frontier AI models. No new documents to write, no long commitments. If the materials are already in your files and you have the rights to share them, you're ready to submit.
- Organization: Alignerr
- Type: Per-Submission Contract
- Location: Remote
- Commitment: Flexible, submit at your own pace
Who You Are
- Current or former PhD student at an accredited doctoral programme — this is non-negotiable
- Your qualifying exam is from one of these fields: Mathematics, Statistics, Physics, Chemistry, Engineering, Computer Science, Economics, or a closely related STEM discipline
- You personally sat for the exam and retained your materials
- Your exam is not publicly posted on any university website, archive, or third-party source
- You can confirm you have the rights to share the material
- Strong written English skills for metadata and submission accuracy
What Makes a Perfect Submission
Submissions with these characteristics have the highest acceptance rate:
- Exams with 20 or more problems, including all subparts
- Solutions that are fully worked out — not hints or one-line answers, but complete reasoning chains
- Multi-day or cumulative exam series submitted as a complete set
- Clean, clearly organized PDFs with problems and solutions easy to follow
What Does Not Qualify
- Coursework finals, homework, or problem sets
- Undergraduate or master's comprehensive exams
- Practice problems or mock quals
- Exams posted publicly on any university or department website
- Submissions where you cannot confirm rights to the material, including exams under NDA or restricted distribution
- Partial exams or exams with fewer than 20 questions
Why Join Us
- Earn per accepted submission with no cap on the number of submissions
- Fully remote and flexible — submit on your own schedule
- Your doctoral work directly contributes to shaping how frontier AI models are evaluated
- Quick turnaround — QA review typically completed within a few business days
- Potential for ongoing engagement as new subject areas open up
Requirements
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in Mathematics
Eligible Languages
Fluent proficiency in English
Compensation Analysis
Toronto and the broader Ontario corridor are home to world-class STEM doctoral programmes — from the University of Toronto and Waterloo to McMaster and Western. If you went through a PhD programme at any accredited institution and still have your qualifying exam materials saved, you can turn them into income with very little extra work. We're looki
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Frequently Asked Questions
What is the assessment actually like?
Notoriously strict. Alignerr uses TestGorilla for role-specific timed tests — 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 — 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.
What does the work actually look like?
It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.
How flexible is the schedule?
Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.
Is there an interview?
Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.
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.