AlignerrData annotation
Video Shot Annotation Artist
up to $50/hr
About this role, in Alignerr's words
We're looking for visually fluent creatives to help teach AI how to see film the way a filmmaker does. As a Video Shot Annotation Artist at Alignerr, you'll break down video content at the shot level — describing camera angles, framing, movement, pacing, and mood — so that AI systems can understand not just what is on screen, but how it was crafted.
What you'll do
- Watch video clips and segment them into individual shots, confirming cut boundaries with precision
- Annotate each shot with camera angle, shot size, and camera movement (e.g., pan, tilt, dolly, handheld)
- Write clear, concise descriptions of on-screen action within each shot
Show all 7 itemsHide the other 4 in What you'll do
- Apply stylistic and tonal tags — including lighting style, visual mood, and genre feel — where relevant
- Work within predefined taxonomies and labeling frameworks to ensure consistency across large datasets
- Flag ambiguous shots, unclear transitions, or edge cases for review
- Maintain accuracy and output quality across high-volume annotation workflows
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 ↗
Video Shot Annotation Artist (AI Training)
About the Role
We're looking for visually fluent creatives to help teach AI how to see film the way a filmmaker does. As a Video Shot Annotation Artist at Alignerr, you'll break down video content at the shot level — describing camera angles, framing, movement, pacing, and mood — so that AI systems can understand not just what is on screen, but how it was crafted.
This is a unique opportunity to put your knowledge of film grammar to work on cutting-edge AI projects, entirely on your own schedule.
- Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: Flexible hours
What You'll Do
* Watch video clips and segment them into individual shots, confirming cut boundaries with precision * Annotate each shot with camera angle, shot size, and camera movement (e.g., pan, tilt, dolly, handheld) * Write clear, concise descriptions of on-screen action within each shot * Apply stylistic and tonal tags — including lighting style, visual mood, and genre feel — where relevant * Work within predefined taxonomies and labeling frameworks to ensure consistency across large datasets * Flag ambiguous shots, unclear transitions, or edge cases for review * Maintain accuracy and output quality across high-volume annotation workflows
Who You Are
Must-Have: * Strong visual literacy — you notice shot distinctions others miss * Solid understanding of core film grammar: shot types, camera angles, and movement terminology * Comfortable working in structured labeling tools, spreadsheets, or annotation interfaces * Detail-oriented and consistent, especially across repetitive tasks * Ability to work independently and manage your own pace
Nice to Have: * Background in video editing, assistant editing, cinematography, or post-production * Prior experience with data annotation, dataset labeling, or AI training workflows * Familiarity with visual storytelling across different genres and formats
Why Join Us
* Work on meaningful AI projects with leading research labs * Fully remote and async — work on your own schedule, from anywhere * Apply specialized film knowledge to a field where it's genuinely rare and valued * Freelance autonomy with the potential for ongoing, long-term contract work * Be part of a growing community of creative and technical contributors shaping the future of AI
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 Data annotation 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: Data annotation
Across 58 roles in this field with a stated hourly rate in US dollars, on 10 platforms, the middle half pays $15 to $50 an hour at the top of the range, and the median is $25. This role's top rate, $50, is in the top quarter. Of the 30 distinct rates we count, 21 are lower and 7 are higher.
| Platform | Roles | Top of range, per hour |
|---|---|---|
| Claru | 27 | $10 to $100 · median $28 |
| micro1 | 14 | $10 to $80 · median $15 |
| Alignerr (this platform) | 6 | $24 to $120 |
| Grayder | 3 | $45 to $100 |
| Mercor | 2 | $50 to $65 |
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 12 Oct 2026.
- The listed pay has not changed since then.
- Posted by Alignerr
- First seen by AIPayList
- Last seen live
- Listing ID
- 559423a9-b4bc-4040-a6e5-896b5246d1f9
Pay as the source states it: “$30-50/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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