AlignerrCoding & software eval
Senior Machine Learning Engineer
up to $80/hr
About this role, in Alignerr's words
What if your deep expertise in machine learning could directly shape how the next generation of AI systems reason, plan, and solve complex problems?
What you'll do
- Author complex, high-fidelity reasoning traces that document how LLMs should approach sophisticated technical tasks — including planning, tool use, and multi-step decision making
- Design and implement data strategies that help AI models navigate intricate, real-world scenarios with greater reliability
- Review and evaluate reasoning traces for logical consistency, structural quality, and completeness
Show all 5 itemsHide the other 2 in What you'll do
- Decompose advanced ML problems into clear, well-documented reasoning steps that serve as model training examples
- Apply your knowledge of LLM architectures and training methodologies to ensure traces meet rigorous quality standards
Candidate background
Who You Are
- Experienced machine learning engineer or researcher with deep knowledge of model reasoning, architecture, and training
- Skilled at breaking down complex technical problems into logical, clearly documented steps
- Familiar with advanced LLM evaluation techniques and how model behavior is shaped by training data
- Detail-oriented and systematic — you hold yourself to high standards of precision and clarity
- Self-directed and comfortable working asynchronously in a remote environment
Nice to Have
Show all 4 itemsHide these 4 items in Nice to Have
- Prior experience with data annotation, data quality assurance, or AI evaluation systems
- Top-tier Kaggle competition results (Grandmaster or Master level) demonstrating advanced model performance and feature engineering expertise
- Hands-on experience with RLHF, chain-of-thought prompting, or other reasoning-focused training methodologies
- Background in AI safety, interpretability, or alignment research
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 ↗
Senior Machine Learning Engineer (AI Training)
About the Role
What if your deep expertise in machine learning could directly shape how the next generation of AI systems reason, plan, and solve complex problems?
We're looking for Senior Machine Learning Engineers to work on one of the most technically challenging and impactful problems in AI today: teaching large language models how to think. You'll author high-fidelity reasoning traces — structured, step-by-step records of how an LLM should plan, use tools, and arrive at decisions — creating the training data that makes AI more reliable and capable in real-world scenarios.
This is a fully remote, flexible contract role built for senior-level engineers who want to work at the frontier of AI development without the constraints of a full-time position.
- Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week
What You'll Do
* Author complex, high-fidelity reasoning traces that document how LLMs should approach sophisticated technical tasks — including planning, tool use, and multi-step decision making * Design and implement data strategies that help AI models navigate intricate, real-world scenarios with greater reliability * Review and evaluate reasoning traces for logical consistency, structural quality, and completeness * Decompose advanced ML problems into clear, well-documented reasoning steps that serve as model training examples * Apply your knowledge of LLM architectures and training methodologies to ensure traces meet rigorous quality standards
Who You Are
* Experienced machine learning engineer or researcher with deep knowledge of model reasoning, architecture, and training * Skilled at breaking down complex technical problems into logical, clearly documented steps * Familiar with advanced LLM evaluation techniques and how model behavior is shaped by training data * Detail-oriented and systematic — you hold yourself to high standards of precision and clarity * Self-directed and comfortable working asynchronously in a remote environment
Nice to Have
* Prior experience with data annotation, data quality assurance, or AI evaluation systems * Top-tier Kaggle competition results (Grandmaster or Master level) demonstrating advanced model performance and feature engineering expertise * Hands-on experience with RLHF, chain-of-thought prompting, or other reasoning-focused training methodologies * Background in AI safety, interpretability, or alignment research
Why Join Us
* Work directly with world-leading AI research teams on problems that matter * Fully remote and flexible — work when and where it suits you, on your own schedule * Freelance autonomy with the substance of meaningful, high-impact technical work * Gain rare, hands-on exposure to how frontier LLMs are trained and evaluated * Contribute to advancing AI systems that are more reliable, transparent, and capable in the real world * 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
- 0462e105-5e34-4bc1-aa98-6a24a27c8191
Pay as the source states it: “$60-80/hr”.
Alignerr posts this role once per country: 2 listings with the same title and pay. We treat them as one role, open in 0 countries.
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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