AlignerrCoding & software eval
Data Science Expert - AI Content Specialist
up to $80/hr
About this role, in Alignerr's words
What if your deep knowledge of machine learning, statistics, and data engineering could directly shape how the world's most advanced AI thinks and reasons? We're looking for Data Science Experts to work alongside leading AI research labs — designing expert-level challenges, writing gold-standard solutions, and auditing AI-generated code to make AI smarter, more rigorous, and more reliable.
What you'll do
- Design Expert Challenges — Create advanced data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more — problems that genuinely stress-test AI reasoning
- Author Ground-Truth Solutions — Develop rigorous, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as the definitive benchmark for AI responses
- Audit AI-Generated Code — Evaluate outputs from libraries like Scikit-Learn, PyTorch, and TensorFlow for correctness, efficiency, and best practices — catching what others miss
Show all 5 itemsHide the other 2 in What you'll do
- Sharpen AI Reasoning — Identify logical failures in AI outputs — data leakage, overfitting, improper handling of imbalanced datasets — and provide structured feedback that improves how models think
- Document Failure Modes — Surface and articulate edge cases and reasoning gaps so AI systems can be hardened against real-world misuse
Candidate background
Who You Are
- Holds or is pursuing a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative discipline
- Strong foundational expertise in core data science domains — supervised/unsupervised learning, deep learning, NLP, big data technologies (Spark, Hadoop), or statistical inference
- Able to communicate complex algorithmic and statistical concepts clearly and precisely in writing
- Exceptionally detail-oriented — you catch errors in code syntax, mathematical notation, and statistical interpretation
- Self-directed and comfortable working independently on task-based assignments
- No prior AI or annotation experience required — your domain expertise is what matters
Nice to Have
Show all 3 itemsHide these 3 items in Nice to Have
- Experience with data annotation, data quality, or model evaluation systems
- Familiarity with production-level data science workflows — MLOps, CI/CD for models, or model monitoring
- Prior work reviewing or auditing technical content at scale
Quoted from selected sections of Alignerr's posting. The full posting may state other conditions. Read the full posting
A closer look
More context, when you need it.
Full job descriptionThe original posting, in Alignerr's words
Posted by Alignerr, reproduced here so you can judge the role before clicking. Original posting ↗
Data Science Expert – AI Content Specialist (AI Training)
About the Role
What if your deep knowledge of machine learning, statistics, and data engineering could directly shape how the world's most advanced AI thinks and reasons? We're looking for Data Science Experts to work alongside leading AI research labs — designing expert-level challenges, writing gold-standard solutions, and auditing AI-generated code to make AI smarter, more rigorous, and more reliable.
This is a fully remote, flexible contract role built for experienced data scientists who want meaningful, intellectually stimulating work on their own schedule.
- Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week
What You'll Do
* Design Expert Challenges — Create advanced data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more — problems that genuinely stress-test AI reasoning * Author Ground-Truth Solutions — Develop rigorous, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as the definitive benchmark for AI responses * Audit AI-Generated Code — Evaluate outputs from libraries like Scikit-Learn, PyTorch, and TensorFlow for correctness, efficiency, and best practices — catching what others miss * Sharpen AI Reasoning — Identify logical failures in AI outputs — data leakage, overfitting, improper handling of imbalanced datasets — and provide structured feedback that improves how models think * Document Failure Modes — Surface and articulate edge cases and reasoning gaps so AI systems can be hardened against real-world misuse
Who You Are
* Holds or is pursuing a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative discipline * Strong foundational expertise in core data science domains — supervised/unsupervised learning, deep learning, NLP, big data technologies (Spark, Hadoop), or statistical inference * Able to communicate complex algorithmic and statistical concepts clearly and precisely in writing * Exceptionally detail-oriented — you catch errors in code syntax, mathematical notation, and statistical interpretation * Self-directed and comfortable working independently on task-based assignments * No prior AI or annotation experience required — your domain expertise is what matters
Nice to Have
* Experience with data annotation, data quality, or model evaluation systems * Familiarity with production-level data science workflows — MLOps, CI/CD for models, or model monitoring * Prior work reviewing or auditing technical content at scale
Why Join Us
* Work directly with industry-leading large language models on problems that genuinely matter * Fully remote and async — work when and where it suits you * Freelance autonomy with the substance of high-impact, expert-level work * Engage with a global network of top-tier researchers and technical contributors * Potential for ongoing work and contract extension as new projects launch
Working with AlignerrPay, getting started and work, from Alignerr's own pages
What the platform publishes in general. These are not extra terms confirmed for this particular role.
- Getting paid
- Billed weekly, Monday to Sunday, with approved work paid by the following Friday, according to Labelbox's help center. Payment goes through Stripe Connect or PayPal depending on your location, with one provider per country. intercom.help/labelbox/en/articles/13600616-alignerr-paym..., alignerr.com/process
- Before your first paid task
- Sign up, apply, verify your identity, set up billing and onboard. Some jobs add a Zara AI interview or domain assessments. alignerr.com/process
- How much work
- Time to your first project depends on demand and your skills, and there is no minimum number of hours. alignerr.com/faqs
- Contract
- Independent contractor, under terms with ALIGNERR LLC. alignerr.com/faqs, alignerr.com/privacy
Read on the pages linked above on 24 Sep 2026. Platforms change these terms, so check the linked page before you rely on one.
How does the pay compare?Across Coding & software eval roles, not this role alone
From our own daily reads of every open listing on the platforms we follow, not from Alignerr's posting. How we count.
Pay across the field: Coding & software eval
Across 393 roles in this field with a stated hourly rate in US dollars, on 14 platforms, the middle half pays $65 to $120 an hour at the top of the range, and the median is $95. This role's top rate, $80, is in the middle half. Of the 141 distinct rates we count, 49 are lower and 82 are higher.
| Platform | Roles | Top of range, per hour |
|---|---|---|
| Alignerr (this platform) | 136 | $50 to $400 · median $100 |
| micro1 | 46 | $35 to $350 · median $110 |
| Handshake AI | 43 | $47 to $125 · median $80 |
| Meridial (Invisible) | 34 | $22 to $150 · median $60 |
| Mercor | 33 | $60 to $200 · median $105 |
Sources and listing historyWhere this information comes from
This listing's history
- First seen here on 27 Aug 2026, and still on Alignerr's list when we last read it on 13 Oct 2026.
- The listed pay has not changed since then.
- Posted by Alignerr
- First seen by AIPayList
- Last seen live
- Listing ID
- 0673e55e-2e81-4334-bacd-9679ec4b2bd8
Pay as the source states it: “$40-80/hr”.
Platforms sometimes change a rate after posting. Every listing here is re-read at least once a day and corrected when its source moves, so a difference you see on the platform is usually a change made since the last read. How freshness works.
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