Search Relevance SME - Digital Content

Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models. As a Welocalize brand, WeloData leverages over 25 years of experience in partnering with the world’s most innovative companies and brings together a curated global community of over 500,000 AI training and domain experts to offer services that span:

ANNOTATION & LABELLING: Transcription, summarization, image and video classification and labeling.

ENHANCING LLMs: Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model output ranking.

DATA COLLECTION & GENERATION: From institutional languages to remote field audio collection.

RELEVANCE & INTENT: Culturally nuanced and aware, ranking, relevance, and evaluation to train models for search, ads, and LLM output.

Want to join our Welo Data team? We bring practical, applied AI expertise to projects. We have both strong academic experience and a deep working knowledge of state-of-the-art AI tools, frameworks, and best practices. Help us elevate our clients' Data at Welo Data.

Role Overview

We are seeking a Search Relevance SME to join our team. In this role, you will act as a Subject Matter Expert for a high-profile streaming platform. Working closely with our raters, you will evaluate submissions in Label Studio, monitor data quality, and recommend targeted training interventions. By identifying recurring errors and offering actionable feedback, you will ensure our team consistently meets and exceeds client expectations.

• Weekly Data Analysis & Error Trend Identification

• Quality Assurance & Guideline Adherence

• Provide Expert Guidance & Feedback

• Training Recommendations

• Collaboration & Reporting

• Previous QA experience: Prior exposure to any kind of QA is highly desirable.
• Strong Analytical & Communication Skills: Ability to synthesize error trends and present clear, actionable insights. Comfortable mentoring and guiding larger teams, both verbally and in writing.
• Localization Experience: Understanding linguistic and cultural nuances in data annotation is a plus.
• Availability for 10–20 hours per week: Flexible schedule with some overlap in working hours for communication with global teams.
• Self-Motivated & Detail-Oriented: Capable of working independently, meeting deadlines, and maintaining strict quality standards in a remote setting.