Stephen M.

Key Skills

Software

Remotasks

CloudFactory

Don't disclose

Top Subject Matter

LLM prompt evaluation

human-in-the-loop feedback

and linguistic quality assurance

Top Data Types

Text

3D Sensor

Image

Document

Top Task Types

RLHF

Segmentation

Data Collection

Freelancer Overview

AI Training Specialist (Contract/Freelance) | Remotasks (Smartmark). Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Remotasks and Don't disclose. Education includes Virtual Assistance Certification, ALX Kenya (2023) and Bachelor of Arts, Moi University (2021). AI-training focus includes data types such as Text and labeling workflows including RLHF and Data Collection.

Labeling Experience

Member & Contributor | Kenya Association of Online Professionals (KAPF)

Don't discloseTextData Collection

Collaborated with Kenyan AI professionals on ethical data sourcing and human-in-the-loop methodologies. Supported ongoing knowledge-sharing practices relevant to AI training and annotation governance. Contributed to discussions that informed how training data is collected, reviewed, and refined. • Participated in professional community activities focused on ethical training data • Shared best practices for human-in-the-loop review • Helped align contributors on responsible AI training approaches • Contributed to ongoing peer learning and methodology exchange

2022 - Present

AI Training Specialist (Contract/Freelance) | Remotasks (Smartmark)

RemotasksTextRLHF

Evaluated and ranked AI-generated text for accuracy, safety, and helpfulness to support RLHF workflows for major LLM developers. Performed prompt evaluation by testing multi-turn prompts to assess reasoning quality and reduce hallucinations. Conducted fact-checking of model claims and audited Swahili-to-English translations for localization readiness. • Ranked model responses based on quality and compliance • Rewrote and refined prompts for clarity and stronger reasoning tests • Verified factual grounding against credible sources • Reviewed translations to improve dialect recognition for voice assistants

2022 - Present

Education

Work History