Theophilus Terhemba U.

Key Skills

Software

Label Studio

CVAT

SuperAnnotate

Telus

Toloka

Top Subject Matter

Agriculture / Plant Breeding / Crop Varieties

AI Tutoring / Programming Education / Technical Writing

Molecular Biology/Cell Biology/Genetics

Top Data Types

Text

Image

Audio

Top Task Types

Prompt + Response Writing (SFT)

Text Generation

Bounding Box

Question Answering

Object Detection

Transcription

Data Collection

Text Summarization

Classification

Freelancer Overview

Assistant Research Officer (Premier Seeds Nigeria Limited) - data collection and analysis for crop breeding research. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, University of Agriculture Makurdi (2021). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Prompt + Response Writing (SFT) and Text Generation.

Labeling Experience

AI Programming Tutor (LLM training interest) - planned content creation for large language models

OtherTextText Generation

The resume indicates interest in leveraging coding and technical writing skills to train large language models as an AI Programming Tutor. This implies creation of tutor content and potential prompt/response examples to support LLM training or fine-tuning. No concrete tutoring dates, datasets, or tooling are provided, so this experience is captured as aspirational/likely training-material preparation rather than a verified labeled-data production role. • Designed or planned AI tutoring content focused on programming. • Prepared technical explanations for clarity in natural language. • Intended to create prompt/response examples for LLM use. • Leveraged technical writing skills to structure learning materials.

2024 - Present

Assistant Research Officer (Premier Seeds Nigeria Limited) - data collection and analysis for crop breeding research

OtherPrompt + Response Writing (SFT)

The role involved assisting research related to plant/crop breeding where data collection and analysis of newly introduced crop varieties were performed for decision support. The work suggests structured labeling or coding of agronomic observations into analyzable formats to support research outcomes. While no explicit annotation tool or label schema was provided, the described data handling aligns with preparing training/analytics-ready datasets for AI or automated workflows. • Collected and analyzed data for newly introduced crop varieties. • Prepared and organized agronomic information for analysis and reporting. • Supported research tasks that likely required consistent data formats. • Used Python skills (as stated in the profile) to enable data collection and analysis.

2023 - Present

Education

Work History