Imam-Malik A.

Key Skills

Software

No software listed

Top Subject Matter

LLM training

text understanding

and evaluation (RLHF-related)

Top Data Types

Text

Image

Top Task Types

Entity (NER) Classification

Bounding Box

Classification

Freelancer Overview

AI Data Specialist & Trainer — Outlier AI (Remote). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Outlier AI, N, and A. Education includes Bachelor of Science, University of Maiduguri (2026). AI-training focus includes data types such as Text and Image and labeling workflows including Entity (NER) Classification, Bounding Box, and Evaluation.

Labeling Experience

AI Data Specialist & Trainer — Outlier AI (Remote)

TextEntity (NER) Classification

Completed thousands of data annotation tasks for text-based datasets, including entity recognition and instruction-following evaluation. Applied structured annotation guidelines to ensure label consistency and dataset reliability across multiple LLM training projects. Maintained high accuracy performance aligned to project benchmarks while working within distributed teams. • Text classification and sentiment annotation • Entity recognition (NER) and instruction-following evaluation • Asynchronous collaboration with strict labeling/style guides • Quality assurance via meeting/exceeding accuracy benchmarks

2023 - Present

Freelance Data Annotator & AI Trainer — Pareto Network (Remote)

Text

Labeled and evaluated text components of multi-turn conversation datasets for AI training. Completed semantic similarity scoring and span-level annotation to support language understanding and reasoning projects. Delivered consistent high-quality work and maintained strong turnaround speed. • Text spans and semantic similarity scoring • Multi-turn conversation evaluation • Language understanding and reasoning-focused training • High performance rankings and positive feedback

2022 - Present

Freelance Data Annotator & AI Trainer — Pareto Network (Remote)

ImageBounding Box

Performed computer vision data labeling tasks including image bounding boxes and related annotation outputs. Completed image and text-related labeling work for AI training datasets while maintaining high-quality contributions. Followed project guidelines to support consistent dataset construction for downstream model training. • Image bounding box annotation • Segmentation mask work and scene classification • Multi-modal dataset labeling support • High-performing contributor with positive manager feedback

2022 - Present

Data Annotation Contributor — Open Train AI / Additional Platforms (Remote)

TextClassification

Contributed to AI training datasets across text, image, audio, and multimodal tasks. Applied structured ontologies and taxonomy guidelines to improve dataset consistency and reliability. Proactively identified edge cases and annotation ambiguities to strengthen labeling guidance. • Text and multimodal dataset contribution • Ontology/taxonomy-guideline application • Edge-case and ambiguity flagging • Onboarding to new tools and project requirements

2021 - Present

Education

Work History