Praise N.

Key Skills

Software

Other

Top Subject Matter

Robotics task execution and behavioral evaluation

Agentic AI workflow evaluation and LLM/agent output assessment

Data Analytics and Business Intelligence

Top Data Types

Video

Document

Text

Top Task Types

Text Generation

Object Detection

Text Summarization

Question Answering

RLHF

Fine-tuning

Transcription

Evaluation/Rating

Freelancer Overview

AI Annotation & Behavioral Task Evaluator at Turing (Remote). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, Microsoft Power BI, and Microsoft Excel. Education includes Bachelor of Engineering, Landmark University. AI-training focus includes data types such as Video and Document and labeling workflows including Evaluation and Rating.

Labeling Experience

Agentic AI Workflow Evaluator at Turing (Remote)

Document

Executed computer-based agent workflow evaluations by recording full task sessions and documenting click-by-click event traces. Assessed task efficiency, completeness, and adherence to expected workflow standards while identifying breakdown points in multi-step agent execution. Applied structured annotation protocols and provided actionable reliability feedback to improve workflow optimization.• Recorded complete task sessions with interaction traces and event documentation.• Evaluated agent workflow efficiency, completeness, and compliance to standards.• Flagged UI/UX inconsistencies and reasoning gaps in automated tasks.• Used structured annotation for reproducibility and benchmarking alignment.

2025 - 2026

AI Annotation & Behavioral Task Evaluator at Turing (Remote)

OtherVideo

Reviewed short task-execution videos across robotic systems, human-performed tasks, and interactive environments to evaluate behavioral performance. Decomposed multi-step workflows into granular sub-actions and annotated movements, decision points, and execution patterns with timestamps. Categorized outcomes using defined evaluation rubrics to support consistent cross-dataset benchmarking.• Reviewed and evaluated execution videos from diverse environments.• Performed granular workflow decomposition for structured analysis.• Produced detailed timestamped annotations for key behaviors and decisions.• Applied rubric-based success/failure outcome categorization.

2025 - 2025

Education

Work History