AlignerrCoding & software eval
Software Engineer Task Author (AI Training)
up to $120/hr
About this role, in Alignerr's words
Alignerr is building a dataset of expert tasks that train and evaluate advanced AI agents on real enterprise engineering work. As a Task Author, you will design and calibrate authentic engineering challenges — diagnosing failing integrations from logs, tracing bugs through codebases, and writing and verifying real fixes — that genuinely push the limits of capable AI agents.
What you'll do
Key Responsibilities
- Author realistic engineering task prompts covering integration failures, log-based debugging, bug traces through source code, and configuration or integration fixes
- Write scoring rubrics that define exactly what a correct fix or diagnosis looks like and how it is verified — including live environment validation where applicable
- Set up task environments with realistic codebases, logs, alerts, and system states that place an AI agent in a plausible engineering situation
Show all 6 itemsHide the other 3 in Key Responsibilities
- Solve each task yourself — write the actual fix and confirm it works — to validate the task is sound and the rubric is accurate
- Calibrate task difficulty by adjusting code complexity, log volume, failure modes, or ambiguity until the task reliably challenges the model to the intended degree
- Review and correct AI-drafted task prompts or rubrics when provided
Candidate background
Qualifications
- Working software engineer with hands-on, industry-level experience — this is not a theoretical or instructional role
- Fluency in Git, version control workflows, and code review practices
- Strong debugging skills: comfortable reading logs, using observability tools, and tracing failures through a codebase
- Experience with infrastructure, integrations, and configuration code (APIs, services, config files, CI/CD)
- Ability to write and verify a code fix in a live or simulated environment
- Ability to define precise, checkable correctness criteria for engineering outcomes
Nice to Have
Show all 3 itemsHide these 3 items in Nice to Have
- Experience in fintech, enterprise SaaS, or regulated industry software engineering contexts
- Background with monitoring and observability platforms such as Datadog, PagerDuty, or Grafana
- Experience with microservices architectures or event-driven systems
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 Task Author (AI Training)
About the Role
Alignerr is building a dataset of expert tasks that train and evaluate advanced AI agents on real enterprise engineering work. As a Task Author, you will design and calibrate authentic engineering challenges — diagnosing failing integrations from logs, tracing bugs through codebases, and writing and verifying real fixes — that genuinely push the limits of capable AI agents.
London's engineering scene spans fintech, enterprise SaaS, and deep-tech — and this role is built for engineers who operate in that world. If you debug real systems, write infrastructure code, and understand what a production failure actually looks like, your expertise is exactly what we need.
- Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: Flexible, task-based
Key Responsibilities
- Author realistic engineering task prompts covering integration failures, log-based debugging, bug traces through source code, and configuration or integration fixes - Write scoring rubrics that define exactly what a correct fix or diagnosis looks like and how it is verified — including live environment validation where applicable - Set up task environments with realistic codebases, logs, alerts, and system states that place an AI agent in a plausible engineering situation - Solve each task yourself — write the actual fix and confirm it works — to validate the task is sound and the rubric is accurate - Calibrate task difficulty by adjusting code complexity, log volume, failure modes, or ambiguity until the task reliably challenges the model to the intended degree - Review and correct AI-drafted task prompts or rubrics when provided
Qualifications
- Working software engineer with hands-on, industry-level experience — this is not a theoretical or instructional role - Fluency in Git, version control workflows, and code review practices - Strong debugging skills: comfortable reading logs, using observability tools, and tracing failures through a codebase - Experience with infrastructure, integrations, and configuration code (APIs, services, config files, CI/CD) - Ability to write and verify a code fix in a live or simulated environment - Ability to define precise, checkable correctness criteria for engineering outcomes
Nice to Have
- Experience in fintech, enterprise SaaS, or regulated industry software engineering contexts - Background with monitoring and observability platforms such as Datadog, PagerDuty, or Grafana - Experience with microservices architectures or event-driven systems
Why Join Us
- Work on cutting-edge AI projects alongside leading research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, well-defined task-based work - Contribute directly to how AI systems understand and perform real software engineering - 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, $120, is in the top quarter. Of the 140 distinct rates we count, 97 are lower and 31 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
- 00809f62-9f65-480e-b865-9e69350ec606
Pay as the source states it: “$70-120/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.
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