Kingsley Ogidi
Agronomist, Data Analyst & AI Data Annotation Specialist
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About
Detail-oriented agronomist and ecology manager with on-field and agricultural extension experience combined with a specialized background in video and data annotation for AI training pipelines. Skilled at applying strict procedural guidelines and quality standards in verifying agricultural inputs and its harvest at any given season or evaluating video content against detailed annotation rubrics. Brings weather-specific accuracy in agronomic and extension projects, alongside broader annotation experience across general video and object labeling tasks.
Strong analytical judgment, written documentation skills, and comfort working independently in remote, guideline-driven workflows.
Experience
Agronomist and Ecology Manager at Kings & Regents Farms (2023 – Present)
Data Analyst & documentation of soil test procedures and results at Kings & Regents Farms (2023 – Present)
Farm Attendant at Phinomar Nigeria Limited (2021 – 2022)
Video Annotation Specialist at Mind rift (2022 – 2023)
- Annotated agricultural and ecology-related video and image datasets — including weather forecasts and seed performance — against detailed project guidelines, applying domain expertise to ensure accuracy.
- Reviewed footage frame-by-frame to mark precise start/end points of clinical actions and procedural steps, supporting AI model training for Agricultural applications.
- Drafted clear written documentation of ambiguous or edge-case agricultural scenarios and incorporated calibration feedback to maintain high inter-rater agreement.
- Communicated regularly with project coordinators on evolving annotation standards for agricultural domain datasets, contributing subject-matter expertise to guideline refinement.
Video Annotation Specialist at Remo tasks (2021 – 2022)
- Annotated video footage for a robotics training project, labeling object position, movement boundaries, and action segments to support robotic perception models.
- Used web-based frame-stepping and timestamp tools to mark precise start/end points of movements within short video clips.
- Maintained consistent output quality and accuracy across high-volume, repetitive video annotation batches under strict turnaround targets.
Education
B.Agric in Agronomy and Ecological Management – Enugu State University of Science and Technology (ESUT) Enugu (2014 – 2019)
West African Examination Council (WAEC) – College of the Immaculate Conception (CIC), Uwani, Enugu (2007 – 2013)




