Help & Supportcareers@gravityer.com
AI Engineer with 3+ years in RLHF, LLM Evaluation & Prompt Engineering.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Training Specialist with advanced experience in RLHF (Reinforcement Learning from Human Feedback), model evaluation, and large-scale data annotation. Proven ability to assess AI outputs across text, audio, image, and video for accuracy, reasoning, safety, and alignment. Strong background in prompt engineering, hallucination detection, and multimodal AI systems. Experienced in Outlier-style evaluation workflows including ranking, scoring, and feedback loops.
Zetech University
BSc · Information Technology
N/A – Present
University of Nairobi
IT · Database Focus
N/A – Present
KSTVET
Pedagogy
N/A – Present
iMerit
AI Image & Annotation Reviewer
April 1, 2026 – Present
India
Handshake
AI Multimedia Evaluator
December 1, 2025 – March 1, 2026
India
Kenya Institute of Special Education
Data Analyst
January 1, 2025 – December 1, 2025
India
CloudFactory
AI Training & Data Annotation Specialist
September 1, 2024 – December 1, 2024
India
Kisii National Polytechnic
ICT Trainer
April 1, 2024 – August 1, 2024
India
Outlier
Generative AI Prompt Engineer
January 1, 2024 – March 1, 2024
India
Outlier
AI Trainer & Model Evaluator
October 1, 2023 – March 1, 2024
India
CloudFactory
AI Training & Data Annotation Specialist
May 1, 2022 – September 1, 2023
India
Data Annotation Professional Certificate
Coursera
June 1, 2026 – Present
NLP Fundamentals
Coursera
June 1, 2026 – Present
Introduction to Linguistics
edX
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across multiple AI training and data annotation roles at companies like CloudFactory, Outlier, Handshake, and iMerit indicates adaptability and a willingness to engage with diverse AI development workflows. Their background as an ICT Trainer also suggests an ability to communicate technical concepts. However, the roles are primarily focused on data labeling, evaluation, and prompt engineering rather than core AI model development or research, which might indicate a gap in direct cultural fit for a senior AI Engineer role focused on algorithm design or system architecture. The breadth of skills is good for an AI operations role, but less so for a deep engineering role.
Soft Skills & Operational Fit
The candidate demonstrates a strong work ethic and attention to detail through their extensive experience in AI output evaluation and data annotation. Their roles involve meticulous review and adherence to guidelines, which are critical for operational fit in AI development. The psychometric test score (254/500) suggests potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration, which would require further investigation during interviews.