Training data you can trust.
Ba-anote, a subsidiary of Ballspedia Technologies, is the data annotation and AI services arm of the group. We build and manage trained annotation teams that label data, evaluate AI model outputs, and help search engines match user intent with results.
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Applied AI services, built and managed from Nigeria.
Ba-anote launched in 2020 as Ballspedia Technologies' move into applied AI services. What began as a small annotation unit has grown into a managed workforce operation supporting AI labs, search platforms, and technology companies with high-quality human-labelled data.
We operate confidentially. Teams work under strict NDAs and client-specific quality protocols, which means the work is often invisible — and that's the point. Our value is accuracy, throughput, and discretion.
Built and managed from Nigeria, Ba-anote taps a large, underused pool of educated talent and gives it structured, supervised work in the AI economy.
Five ways we support your models and your search.
Text, image, audio, and video: classification, entity tagging, bounding boxes, transcription, sentiment labelling, delivered to client specification.
Trained teams that produce, rate, and rank model responses, run side-by-side comparisons, write reference answers, and flag safety or quality issues.
Assessing whether search results answer what the user actually meant, closing the gap between query and intent.
We recruit, train, supervise, and quality-check annotators on your behalf, against agreed throughput targets and reporting.
Second-pass review of existing datasets, inter-annotator agreement scoring, and guideline refinement.
A five-stage process, from scope to delivery.
We review your guidelines, data type, and volume, and agree quality benchmarks.
A small batch establishes accuracy baselines and surfaces guideline gaps.
We recruit and train annotators matched to the task and language requirements.
Work runs at agreed throughput with continuous QA sampling.
Data is delivered in your format, with quality reporting and a feedback loop.
What working with us actually looks like.
Where our teams already work.
Apply to become a data annotator.
We are always building capacity. If you have strong written English, attention to detail, and the patience to work to a guideline, we want to hear from you.
- Applications reviewed on a rolling basis
- Successful candidates invited to a short assessment
- We reply within 14 working days if there's a match
Thank you. Your application has been received.
If your profile matches an open project we will contact you within 14 working days. If you don't hear back within that window, you may reapply after three months.