Data Science Expert - AI Content Specialist
Alignerr • Remote • Posted 0 days ago
Education
Any
Type
Pay Rate
$60/task
Posted
0d ago
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About this Role
What You'll Do
- Design Advanced Challenges — Create rigorous data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
- Author Ground-Truth Solutions — Develop step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as authoritative "golden responses"
- Audit AI-Generated Code — Evaluate model outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for correctness, efficiency, and best practice adherence
- Sharpen AI Reasoning — Identify logical flaws such as data leakage, overfitting, or improper handling of imbalanced datasets, and deliver structured feedback that improves model behavior
- Work Independently — Complete task-based assignments asynchronously on a schedule that works for you
About the Role
What if your deep knowledge of machine learning, statistical inference, and data engineering could directly shape how the world's most advanced AI models think and reason? We're looking for experienced data scientists to join Alignerr and work alongside leading AI research labs — designing hard problems, authoring expert solutions, and stress-testing AI reasoning at a technical level most roles never reach. This is a fully remote, flexible contract role built for senior practitioners who want meaningful, intellectually stimulating work on their own schedule.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
Who You Are
- Hold or are pursuing a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field
- Strong foundational knowledge across supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP
- Able to communicate complex algorithmic and statistical concepts clearly in writing
- Precise and detail-oriented when reviewing code syntax, mathematical notation, and statistical conclusions
- No prior AI industry experience required — your domain expertise is what matters
Nice to Have
- Experience with data annotation, data quality workflows, or evaluation systems
- Familiarity with production-level data science practices such as MLOps or CI/CD for models
- Background in academic research, technical writing, or peer review
Why Join Us
- Work directly with industry-leading large language models on technically challenging problems
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, task-based assignments
- High-agency contractor environment with international reach
- Potential for ongoing work and contract extension as new AI projects launch
Requirements
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in Mathematics
Compensation Analysis
What if your deep knowledge of machine learning, statistical inference, and data engineering could directly shape how the world's most advanced AI models think and reason? We're looking for experienced data scientists to join Alignerr and work alongside leading AI research labs — designing hard problems, authoring expert solutions, and stress-testi
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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.