Elvis D.

Key Skills

Software

Micro1

Mercor

Top Subject Matter

Robotics AI training and human-in-the-loop data quality assurance for video inputs.

Robotics AI training dataset review and quality evaluation for video inputs.

Robotics real-world video data annotation for AI model training.

Top Data Types

Video

Image

Text

Top Task Types

Data Collection

Action Recognition

Evaluation/Rating

Prompt + Response Writing (SFT)

Bounding Box

Fine-tuning

Freelancer Overview

Micro1 / MicroOne — Human Data Manager (HDM), Robotics AI Training Project. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Micro1. Education includes Certificate in Film & Television Production, MultiChoice Talent Factory, West Africa (2023) and Bachelor of Arts, Kwame Nkrumah University of Science and Technology (KNUST). AI-training focus includes data types such as Video and labeling workflows including Data Collection, Evaluation, and Rating.

Labeling Experience

Micro1 / MicroOne — Human Data Manager (HDM), Robotics AI Training Project

Micro1VideoData Collection

Managed a distributed human-in-the-loop contributor program for robotics AI training using real-world video data. Supervised task allocation, weekly performance targets, and contributor onboarding for large-scale data review. Conducted ongoing data quality reviews to ensure strict training and research standards were met. • Oversaw contributor workflow and performance tracking for 150+ contributors. • Ensured adherence to project guidelines and research-oriented quality criteria. • Resolved contributor questions and issues related to data capture and review. • Coordinated continuous review cycles to maintain training input usability.

2026 - 2026

Micro1 / MicroOne — Reviewer, Robotics AI Training Project

Micro1Video

Reviewed and evaluated contributor-submitted real-world videos for robotic AI training. Enforced project guidelines, quality thresholds, and consistency requirements across a large dataset. Provided structured, actionable feedback to improve data usability for downstream model training and research. • Evaluated 7,000+ videos from contributors. • Applied quality and consistency checks to ensure dataset integrity. • Gave actionable remediation feedback to contributors. • Supported dataset readiness for training and research pipelines.

2025 - 2026

Micro1 / MicroOne — Data Recorder / Annotator, Robotics AI Training Project

Micro1VideoAction Recognition

Recorded and labeled real-world video data for use in robotic AI model training. Followed precise capture and annotation protocols to ensure high-quality training inputs. Contributed to foundational datasets used in downstream AI research and development. • Performed video capture aligned with labeling/annotation protocols. • Completed annotation work to generate training-ready video data. • Ensured protocol adherence for consistent, usable labels. • Supported downstream research dataset creation.

2025 - 2025

Education

Work History