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Chisomaga Nkwocha

AI Data Annotator — Atlas capture

Nigeria flagAbuja, Nigeria
Entry LevelOther

Key Skills

Software

Other

Top Subject Matter

AI/ML Model Training
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

ClassificationClassification

Freelancer Overview

For about 8 months now, I've been doing video annotation work through Atlas Capture, and it's honestly been a great experience getting into the AI data side of things. My main focus was watching through video footage and labeling the actions happening on screen, whether that was identifying specific movements, behaviors, or sequences of events. Over that time I worked through thousands of videos, which really helped me get fast and consistent with how I approach each task. One thing I'm pretty proud of is keeping my accuracy score above 90% most of the time. Video labeling isn't always straightforward because sometimes the actions overlap or the footage isn't the clearest, so maintaining that kind of quality across a high volume of work took real focus and a good eye for detail. I got comfortable working within strict guidelines while also using my own judgment when things weren't clear . It's the kind of work that taught me how much good labeled data actually matters to how well an AI model ends up performing.

Entry Level

Labeling Experience

AI Data Annotator — Atlas capture

OtherTextClassification
As an AI Data Annotator at Atlas Capture, I regularly annotated and labeled thousands of text, image, and audio samples to support machine learning model training. I focused on maintaining a high accuracy rate above 95% and followed detailed annotation guidelines to ensure consistency. I also contributed to RLHF workflows by evaluating AI-generated responses for helpfulness, harmlessness, and factual accuracy. • Applied annotation standards across diverse data types. • Flagged ambiguous cases and edge scenarios for senior review. • Maintained strong inter-annotator agreement and quality assurance scores. • Consistently met high volume task deadlines.

As an AI Data Annotator at Atlas Capture, I regularly annotated and labeled thousands of text, image, and audio samples to support machine learning model training. I focused on maintaining a high accuracy rate above 95% and followed detailed annotation guidelines to ensure consistency. I also contributed to RLHF workflows by evaluating AI-generated responses for helpfulness, harmlessness, and factual accuracy. • Applied annotation standards across diverse data types. • Flagged ambiguous cases and edge scenarios for senior review. • Maintained strong inter-annotator agreement and quality assurance scores. • Consistently met high volume task deadlines.

2025 - Present

Education

N

Nnamdi Azikiwe University

Bachelor of Applied Microbiology, Applied Microbiology in Biosciences

Bachelor of Applied Microbiology
2022

Work History

F

Finavel Limited

Customer Support Representative

N/A
2023 - 2025