AlignerrDomain experts
Marketing Task Author (AI Training)
up to $50/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 marketing work. As a Marketing Task Author based in or around London, you will design and calibrate demand and content tasks grounded in real data — drafting on-brand announcements, building competitive comparisons, and tracing campaign attribution — that require factual accuracy, brand judgment, and data-backed conclusions.
What you'll do
Key Responsibilities
- Author realistic marketing task prompts: on-brand announcement drafts, competitive comparison documents, and campaign attribution analysis.
- Write scoring rubrics that specify factual accuracy standards, brand fit criteria, and the data logic required to confirm a conclusion is supported.
- Set up task environments with the campaign data, brand guidelines, competitive intelligence, and analytics outputs needed to replicate a real marketing work scenario.
Show all 6 itemsHide the other 3 in Key Responsibilities
- Solve each task yourself to confirm the scenario is realistic, the correct output is clear, and the rubric reflects genuine marketing judgment.
- Calibrate task difficulty — adjust data complexity, brand guideline specificity, or attribution 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
- Hands-on experience in a marketing role — demand generation, content marketing, product marketing, or a closely related function.
- Ability to verify factual accuracy in marketing claims and confirm that stated conclusions follow from the underlying data.
- Strong brand judgment: can assess whether a draft is on-brand and articulate why with specific, checkable criteria.
- Comfortable working with campaign performance data, attribution reports, and competitive positioning documents.
- Ability to define precise correctness criteria for marketing outputs — not just "good writing" but verifiable accuracy, brand alignment, and data support.
Nice to Have
Show all 3 itemsHide these 3 items in Nice to Have
- Experience in B2B, industrial, or enterprise marketing within the UK or European markets.
- Familiarity with marketing analytics platforms (e.g., HubSpot, Marketo, Google Analytics, Looker).
- Background working with EMEA-focused marketing strategies or multinational brands.
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 ↗
About the Role
Alignerr is building a dataset of expert tasks that train and evaluate advanced AI agents on real enterprise marketing work. As a Marketing Task Author based in or around London, you will design and calibrate demand and content tasks grounded in real data — drafting on-brand announcements, building competitive comparisons, and tracing campaign attribution — that require factual accuracy, brand judgment, and data-backed conclusions.
This is a fully remote, flexible contract role open to experienced marketing professionals across the UK who want to apply their expertise to the frontier of AI development.
- Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: Flexible, task-based
Key Responsibilities
- Author realistic marketing task prompts: on-brand announcement drafts, competitive comparison documents, and campaign attribution analysis. - Write scoring rubrics that specify factual accuracy standards, brand fit criteria, and the data logic required to confirm a conclusion is supported. - Set up task environments with the campaign data, brand guidelines, competitive intelligence, and analytics outputs needed to replicate a real marketing work scenario. - Solve each task yourself to confirm the scenario is realistic, the correct output is clear, and the rubric reflects genuine marketing judgment. - Calibrate task difficulty — adjust data complexity, brand guideline specificity, or attribution ambiguity until the task reliably challenges the model to the intended degree. - Review and correct AI-drafted task prompts or rubrics when provided.
Qualifications
- Hands-on experience in a marketing role — demand generation, content marketing, product marketing, or a closely related function. - Ability to verify factual accuracy in marketing claims and confirm that stated conclusions follow from the underlying data. - Strong brand judgment: can assess whether a draft is on-brand and articulate why with specific, checkable criteria. - Comfortable working with campaign performance data, attribution reports, and competitive positioning documents. - Ability to define precise correctness criteria for marketing outputs — not just "good writing" but verifiable accuracy, brand alignment, and data support.
Nice to Have
- Experience in B2B, industrial, or enterprise marketing within the UK or European markets. - Familiarity with marketing analytics platforms (e.g., HubSpot, Marketo, Google Analytics, Looker). - Background working with EMEA-focused marketing strategies or multinational brands.
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, task-based work. - Contribute to AI development that directly shapes how technology handles real enterprise marketing challenges. - 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 Domain experts 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: Domain experts
Across 698 roles in this field with a stated hourly rate in US dollars, on 18 platforms, the middle half pays $65 to $130 an hour at the top of the range, and the median is $100. This role's top rate, $50, is in the bottom quarter. Of the 260 distinct rates we count, 32 are lower and 219 are higher.
| Platform | Roles | Top of range, per hour |
|---|---|---|
| Alignerr (this platform) | 148 | $24 to $200 · median $80 |
| micro1 | 136 | $28 to $400 · median $110 |
| AfterQuery | 88 | $45 to $175 · median $100 |
| Handshake AI | 79 | $30 to $300 · median $85 |
| Mercor | 78 | $55 to $450 · median $120 |
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
- 051f1eee-8d9f-4bce-b337-f58712a63909
Pay as the source states it: “$20-50/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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