Quality drifts as volume grows
Throughput goes up, agreement goes down, and nobody notices until the model does.
Managed data teams
Human-in-the-loop data work, at scale, managed for you.
Labeling, annotation, content moderation and enrichment, delivered by trained, managed African teams. Six years of production work for AI and data companies, with a 40,000-strong talent community behind it.
Data work delivered for
- Scale AI
- Verbit
- Clearco
- Perion Network
- Zencity
- Buckstop
- Respo.Vision
- Paces (YC)
Where data programmes break
ElsewhereManaging the crowd becomes your job
Recruiting, training and chasing annotators is a full-time operation you didn't plan for.
Churn resets your quality every quarter
Workers who aren't paid reliably don't stay, and every replacement restarts the learning curve.
Edge cases stall the queue
Without a feedback loop into the guidelines, ambiguous items pile up instead of getting resolved.
What you get
With WerkitA managed, trained team
Not a marketplace. We recruit, train and manage the people doing your work, and we've been paying them through our own rails since 2020.
Quality built into the process
Guideline development, calibration rounds, sampling and review, agreed with you before volume ramps.
Scale when you need it
A 40,000-strong talent community means we can grow a workstream without restarting quality from zero.
Task types across modalities
Labeling, annotation, content moderation and data enrichment across text, image and audio, including computer-vision and NLP pipelines.
Your platform, ours, or custom-built
We work in your annotation platform where you have one. Where off-the-shelf tools don't fit, we build custom labeling tools tailored to your project, on Bubble or modern web, the way we've done for client programmes.
Ethical, paid work
Reliable pay to African digital workers is the point of the company, not a marketing line.
Test the work before you commit to it
30-day trialEvery data vendor says their quality is good. Ours is easy to check, because there are three points where you can walk away and you will have seen real work before you are tied to anything.
- 1Before you sign
See our work for free
Send us the task and a sample of your data. We label a batch, mark our own mistakes and send it back, free. You judge the quality yourself before you spend a cent.
- 2First 30 days
Change your mind, get a refund
Not convinced in the first month? Say so and we stop. No notice, no reason needed, and you get a refund on every hour you paid for and didn't use.
- 3After that
Stay because it's working
No annual contract and no lock-in. Give us a month's notice whenever you want. We would rather keep you because the work is good than because you signed something.
How a data programme runs
Raw data, no labels
Your queue fills with items that only human judgement can resolve, and nobody has agreed yet what a correct answer looks like.
We hire where the opportunity is scarce
We recruit in markets with real education and very few digital openings, so the people who apply are graduates, postgraduates and active students. We take the top of that pool and pay above the local rate, so they stay for years.
Calibrated before we scale
A small batch first. We build the guidelines with you and run a calibration round until the team agrees with your bar, not ours. And the first thirty days are yours to walk away from: change your mind and we refund the hours you have not used.
Then the volume ramps
The same trained team scales the workstream. We recruit, train, supervise and pay them, so growing throughput is our problem and not yours.
Edge cases go back into the spec
Ambiguous items get pulled out, resolved by people who understand the domain, and written into the guidelines, so the same question never stalls the queue twice.
The standard holds
Sampling and review stay in the loop at steady state. Six years of production data work for AI and data companies, at the bar we agreed on day one.
20xFeedback loop
the volume, the same standard
Verbit.ai: a dedicated team instead of a crowd
Crowdsourcing pushed their costs up and left the hard files undone. We recruited, vetted and managed a dedicated team instead: 250 trained transcribers inside two months, 285,895 audio minutes delivered, and the relationship widened into their support work.
Read the case studyWhat clients say
Video & image annotation
“Werkit built a highly productive team for our annotation project that delivered accurate and reliable results for millions of frames ahead of schedule.”
A 250-person transcription team in two months
“Werkit quickly put together a dedicated and reliable team capable of using our tools. This enabled us to scale our growth, deliver high quality work to our clients and ensure we kept our operational costs low.”
Data operations
“It was a pleasure working with the team, and seeing their dedication and commitment to providing high quality work.”
Managed data team
“Werkit responded quickly to our project staffing needs and provided reliable, self-driven contractors to help us meet our goals efficiently and effectively!”
Frequently asked questions
What kinds of data work do you take on?
Human-in-the-loop data labeling, annotation, content moderation and data enrichment. If your task needs careful human judgement at volume, it's in scope.
Is there a trial period?
Yes. You get the first 30 days as a trial. If it isn't working, tell us and we stop, no notice and no reason needed, and you get a refund on every hour you paid for and didn't use. After that there's no annual contract either; a month's notice ends it whenever you want. And before you sign anything you can ask for a free calibration batch and check the quality at no cost.
How do you manage quality?
We build the guidelines with you, run a calibration round before scaling, and keep sampling and review in the loop at steady state. Ambiguous items feed back into the guidelines instead of sitting in the queue.
Where are your teams based?
Our delivery teams are across southern and eastern Africa; you contract with our US (Delaware) company, operating since 2020.
Can you scale a workstream up quickly?
Yes. We've paid 3,800+ people and have a 40,000-strong talent community to draw from, with training pipelines already in place.
Do you work in our annotation platform?
Yes. Where you already have a platform, we work inside it. Where an off-the-shelf tool doesn't fit the task, we build custom annotation tooling tailored to your project; several client programmes run on tools we built for them.
How is data confidentiality handled?
NDA before any data changes hands, with data handling and access rules agreed as part of the pilot brief.
Start a project
Get a free calibration batch
Send us your task instructions and a data sample. We'll return a completed calibration batch with error analysis, free, so you can judge our quality before you spend anything. And once we start, you have 30 days to change your mind and get your unused hours refunded.
Prefer email? hello@werkitdata.com