AlignerrCoding & software eval
Software Engineer – Machine Learning (AI Training)
up to $120/hr
About this role, in Alignerr's words
What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in Warsaw and across Poland to evaluate AI-generated machine learning solutions — catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.
What you'll do
- Review and evaluate AI-generated machine learning code — including Python, TensorFlow, PyTorch, and scikit-learn — for correctness, efficiency, scalability, and clarity
- Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels
- Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches
Show all 5 itemsHide the other 2 in What you'll do
- Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses
- Help set the quality bar for how AI understands and produces machine learning code
Candidate background
Who You Are
- Deeply fluent in machine learning — you know your way around model development, data preprocessing, training pipelines, and deployment
- Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Strong written communicator — able to explain complex ML concepts clearly and precisely
- Detail-oriented and rigorous — you catch what others miss and care about getting things right
- Self-motivated and comfortable working independently in an async environment
Nice to Have
Show all 5 itemsHide these 5 items in Nice to Have
- 3–5+ years working on machine learning projects, pipelines, or MLOps
- Experience with model evaluation, cloud deployment, or production ML systems
- Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field
- Background in data labeling, RLHF, or other AI training workflows
- Prior experience with code review or technical writing
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 ↗
Software Engineer – Machine Learning (AI Training)
About the Role
What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in Warsaw and across Poland to evaluate AI-generated machine learning solutions — catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.
Poland has one of Europe's fastest-growing tech communities, and Warsaw in particular is home to a deep pool of strong engineering talent. This role is an opportunity to put that expertise to work on global AI projects without leaving your city — or your couch.
This is a fully remote, flexible contract role. Work asynchronously on your own schedule, from wherever you are. No fixed hours, no meetings — just high-impact, expert work that matters.
- Organization: Alignerr - Type: Hourly Contract - Location: Remote (Poland) - Commitment: Flexible, project-based
What You'll Do
* Review and evaluate AI-generated machine learning code — including Python, TensorFlow, PyTorch, and scikit-learn — for correctness, efficiency, scalability, and clarity * Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels * Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches * Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses * Help set the quality bar for how AI understands and produces machine learning code
Who You Are
* Deeply fluent in machine learning — you know your way around model development, data preprocessing, training pipelines, and deployment * Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn * Strong written communicator — able to explain complex ML concepts clearly and precisely * Detail-oriented and rigorous — you catch what others miss and care about getting things right * Self-motivated and comfortable working independently in an async environment
Nice to Have
* 3–5+ years working on machine learning projects, pipelines, or MLOps * Experience with model evaluation, cloud deployment, or production ML systems * Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field * Background in data labeling, RLHF, or other AI training workflows * Prior experience with code review or technical writing
Why Join Us
* Work on cutting-edge AI projects alongside leading research labs and top AI teams * Fully remote and async — work when and where it suits you, with no minimum hour commitments beyond project needs * Freelance autonomy with the structure of meaningful, task-based work * Your contributions directly improve AI models used by top research labs and enterprise teams worldwide * High-performing contributors take on expanded responsibilities and lead new programs * 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 391 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, $120, is in the top quarter. Of the 140 distinct rates we count, 96 are lower and 31 are higher.
| Platform | Roles | Top of range, per hour |
|---|---|---|
| Alignerr (this platform) | 136 | $50 to $400 · median $100 |
| micro1 | 44 | $60 to $350 · median $120 |
| 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
- 006d91d6-5907-44d9-9d13-48cedcf16785
Pay as the source states it: “$90-120/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.
Keep exploring
More like this
Related field, different requirements. Check each role's own page before you apply.