Project Coordinator – Generative AI Data Operations

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.

Job Reference: #LI-JC1

Role Purpose

Individual contributor who supports end-to-end delivery of multiple AI training data projects. Owns in collaboration with the project team, day-to-day execution, timelines, resources, and client communication to ensure delivery against scope and established processes. Manages end-to-end delivery of multiple workstreams that power Generative AI model training and evaluation, ensuring timelines, quality, and resources.

Key Responsibilities:

· End-to-end delivery: Plan, launch, and run a project (data collection, labeling, evaluation). Define tasks, assign batches, and monitor progress and blockers.
· Timeline and scope control: Build simple schedules, track dependencies, manage changes within agreed scope, and escalate when scope, time, or cost are at risk.
· Quality management: Apply project guidelines and SOPs; perform spot checks; coordinate feedback loops and rework until standards are met.
· Client communication: Contribute to regular status touchpoints; share updates, risks, and next steps; capture and clarify requirements and guideline questions.
· Resource coordination: Forecast and request rater/annotator capacity; align shifts, handoffs, and training needs with internal teams and vendors.
· Risk and issue management: Maintain risk/issue logs; run basic root-cause checks; execute mitigation plans and document outcomes.
· Project administration: Keep trackers, dashboards, and documentation current (volumes, throughput, quality, incidents). Support PO/time entry and invoice confirmations.
· Process adherence & improvement: Follow SOPs and security/compliance policies; propose small improvements to increase speed, quality, or cost efficiency.
· Tooling: Use standard PM and data tools (spreadsheets, task boards, ticketing, basic BI) and help others follow usage conventions.

Requirements
Education
Bachelor’s degree or equivalent experience in business, data/operations, or related fields

Experience
1+ years in project/operations delivery or coordination (AI data, content review, labeling/annotation, or adjacent domains).

Skills
· Organization and time management across multiple small/medium projects
· Clear client/vendor communication and expectation setting
· Use of spreadsheets, PM/task boards, and basic BI; familiarity with ETL/SQL is a plus
· Consistent application of SOPs, QA checks, and change/risk logs
· Ability to work independently day to day in a remote environment; escalates when needed.