Damilare A.

Key Skills

Software

Don't disclose

Other

Appen

Mercor

Top Subject Matter

Mechanical/industrial actions and technical programming behaviors

Engineering research data quality and verification

Support data analytics and data ingestion for automated responses

Top Data Types

Text

Video

Image

Top Task Types

RLHF

Data Collection

Transcription

Freelancer Overview

Software Developer Trainee (AI & Technical Annotation). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Don't disclose. Education includes Bachelor of Technology, Ladoke Akintola University of Technology and International English Language Testing System Academic (IELTS) Academic Certification, N/A. AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

Research Institute Intern

Don't discloseText

Research institute internship focused on reviewing technical submissions and research data prior to approval, applying engineering logic to identify missing or contradictory information. This involves verification-style review of collected data to improve downstream correctness of data collection systems. Work concentrates on troubleshooting hardware-software friction points in data collection pipelines.• Review technical submissions and research data for missing or contradictory information before approval.• Apply engineering logic to troubleshoot hardware-software issues affecting data collection quality.• Support data integrity checks for research and technical workflows.• Identify and resolve inconsistencies in inputs used for further processing.

2026 - Present

Software Developer Trainee (AI & Technical Annotation)

RLHF

Remote AI & technical annotation role focused on labeling and refining datasets used for model training and verification. Work includes auditing model outputs for factual accuracy and ensuring compliance with strict technical and safety guidelines. Applies prompt engineering strategies to improve AI-assisted labeling for physical and industrial actions.• Annotate and refine datasets for AI training using JavaScript logic, string methods, and functional programming.• Improve prompt engineering to increase quality of AI-assisted action labeling for technical/physical domains.• Perform technical output auditing to verify factual correctness against safety and safety-related constraints.• Ensure high-accuracy RLHF-style data alignment through verification and error checking.

2026 - Present

Customer Success / Lead Generation Intern (Atlas Team)

OtherTextData Collection

Customer success/lead generation internship included optimizing data ingestion workflows and analyzing raw support data to improve automated response accuracy. While primarily focused on lead generation, the work involves data ingestion, integrity maintenance, and feedback-loop improvements to downstream AI response behavior. Ensures continuous availability for international teams via dedicated solar-powered infrastructure.• Optimize data ingestion workflows using LinkedIn and PhantomBuster to maintain database integrity for lead generation.• Analyze raw support data to identify friction points and improve accuracy of automated responses.• Improve customer feedback loops that inform iteration of response automation.• Maintain uninterrupted remote availability supporting international teams.

2026 - 2026

Education

Work History