I am Sharon Okereke, an AI Training & LLM Evaluation Specialist with hands-on experience delivering high-quality multimodal datasets across text, image, video, and audio workflows. I have sustained 98-99% QA accuracy while meeting high-throughput SLA targets in production AI environments, and I am proficient in rubric-based LLM evaluation, hallucination detection, contradiction analysis, and instruction-following review. I excel at edge-case resolution, guideline interpretation, and providing structured feedback to improve dataset reliability and model performance. Remote-ready, detail-driven, and quality-focused, I design scalable evaluation pipelines, document ambiguous guidelines, and collaborate with cross-functional teams to convert real-world interactions into strong training signals.

Sharon Okereke

I am Sharon Okereke, an AI Training & LLM Evaluation Specialist with hands-on experience delivering high-quality multimodal datasets across text, image, video, and audio workflows. I have sustained 98-99% QA accuracy while meeting high-throughput SLA targets in production AI environments, and I am proficient in rubric-based LLM evaluation, hallucination detection, contradiction analysis, and instruction-following review. I excel at edge-case resolution, guideline interpretation, and providing structured feedback to improve dataset reliability and model performance. Remote-ready, detail-driven, and quality-focused, I design scalable evaluation pipelines, document ambiguous guidelines, and collaborate with cross-functional teams to convert real-world interactions into strong training signals.

Available to hire

I am Sharon Okereke, an AI Training & LLM Evaluation Specialist with hands-on experience delivering high-quality multimodal datasets across text, image, video, and audio workflows. I have sustained 98-99% QA accuracy while meeting high-throughput SLA targets in production AI environments, and I am proficient in rubric-based LLM evaluation, hallucination detection, contradiction analysis, and instruction-following review. I excel at edge-case resolution, guideline interpretation, and providing structured feedback to improve dataset reliability and model performance.

Remote-ready, detail-driven, and quality-focused, I design scalable evaluation pipelines, document ambiguous guidelines, and collaborate with cross-functional teams to convert real-world interactions into strong training signals.

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Language

English
Fluent

Work Experience

LLM Training & Content Analyst at Turing Enterprise Inc
September 1, 2025 - Present
Reviewed and validated high-volume LLM datasets for instruction-following, logical consistency, factuality checks, and reasoning quality under strict rubrics. Applied structured rubrics and error taxonomies to improve dataset reliability and reduce reviewer discrepancies. Used verifier workflows and cross-checking tools to detect inconsistencies and improve LLM output QA in time-sensitive queues. Sustained 98-99% QA accuracy while evaluating high-volume LLM outputs under strict SLA timelines.
Video Data Annotator (Freelance) at Atlas Capture
March 1, 2024 - August 1, 2025
Annotated and QA-reviewed 20+ videos/day with frame-level labeling, ensured timing, action boundaries, and object continuity across sequences. Reduced QC rejections by applying structured QA checks (spot checks, transition validation, temporal alignment, consistency review) to improve submission acceptance. Flagged and resolved complex edge cases (occlusion, truncation, motion blur, partial visibility, fast motion) using guideline-accurate decisions to protect dataset integrity. Consistently met delivery targets by balancing high throughput with precision in large-scale video queues.
Video Data Contributor (Robotics & Computer Vision Datasets) at Micro1
April 1, 2023 - February 1, 2024
Produced 40+ high-quality CV/robotics videos weekly, aligned with strict data collection and QC standards. Improved dataset usability by ensuring clean metadata, consistent capture conditions, and guideline-aligned compliant content selection (framing, lighting, motion, clarity). Reduced downstream annotation rework by delivering structured, review-ready source data for perception models.
Data Annotator & AI Content Reviewer (Contract) at Innodata Inc
January 1, 2022 - March 1, 2023
Delivered 30–50+ tasks/day across multimodal datasets (text, image, video, audio) while sustaining 98–99% QA accuracy in annotation and review queues under SLA timelines. Produced model-ready data sets using classification, tagging, taxonomy labeling, bounding boxes, semantic segmentation, instance segmentation, and text-to-image alignment. Executed complex computer vision workflows such as dense bounding boxes, region-specific edits, object selection/removal, and consistency checks to meet strict labeling guidelines. Improved dataset reliability by documenting edge cases and clarifying ambiguous guideline interpretations, reducing repeat errors and rework across batches.
Client Relationship & Data Operations Support (Freelance) at MainStreet Capital Ltd
July 1, 2020 - December 1, 2021
Managed and validated 200+ client and investment records/month, supporting accurate reporting and clean downstream analytics.
Customer Support & Banking Operations at Stanbic IBTC Bank
October 1, 2017 - June 1, 2020
Resolved customer issues across email/phone/in-person channels while maintaining compliance, accurate documentation, and consistent case ownership.

Education

B.Sc. Biochemistry at University of Port Harcourt, Nigeria
September 2, 2013 - August 30, 2017

Qualifications

AI Data Analyst
January 11, 2030 - March 2, 2026
Essentials of Data Labelling & Annotation for AI Development
January 11, 2030 - March 2, 2026
Building Data Analyst AI Agent
January 11, 2030 - March 2, 2026

Industry Experience

Other

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