Data and AI

Text and Audio Data Annotation

Label text and audio data accurately for the NLP and speech models increasingly powering real AI products

10h4 lessonsTier 1 hireabilityTier 1 certificate

What you'll be able to do

You can accurately perform named entity labelling, sentiment/intent classification, and audio transcription/labelling tasks, and recognise the specific quality challenges unique to text and audio data.

Job titles this qualifies you for

AI Training SpecialistData Annotator
Market intelligence
Demand
High
Remote
95% remote roles
Nigeria salary
Not a primary local hiring category — paid per task/hour in USD regardless of contributor location
Remote (USD)
Highly variable by platform and task type: roughly $10-20/hour for basic annotation (Appen), $20-40/hour for skilled annotation/evaluation tasks broadly, up to $43-63/hour reported for Remotasks, and $20-75+/hour for Scale AI's more specialised contributor categories

Lessons

Stage 1 — Foundation
1
Named Entity Recognition and Text Span Labelling
30 min
2
Sentiment and Intent Classification
25 min
Stage 2 — Applied
1
Audio Transcription and Labelling
30 min
2
Quality and Consistency Across Text and Audio Tasks
25 min
Tier 2 Proof Submission

Text and Audio Data Annotation Portfolio

Demonstrate NER accuracy, sentiment/intent judgement, audio transcription/diarization competence, and cross-task quality discipline.

1.An ambiguous-entity disambiguation explanation
2.A mixed-sentiment classification example
3.A verbatim-versus-clean transcription explanation and a timestamp-accuracy example
4.An escalation process description for ambiguous cases
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