Data Operations Specialist – GenAI Annotation

Job not on LinkedIn

August 5

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $40 - $60 / hour

⏰ Full Time

🟢 Junior

🟡 Mid-level

⚙️ Operations

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Sustainable Talent

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HR Tech • Recruitment

Sustainable Talent is a global leader in talent acquisition and recruitment solutions, specializing in diversity, equity, inclusion, and belonging (DEIB) initiatives. They provide scalable staffing and recruitment services, including executive search, recruitment process outsourcing (RPO), and on-demand talent solutions, to help organizations attract and retain diverse, top-tier talent. Sustainable Talent leverages advanced technology, including AI-driven recruitment tools, to enhance candidate experience and streamline hiring processes. Their services empower businesses across various industries, such as technology, healthcare, finance, and manufacturing, to meet dynamic staffing needs efficiently and effectively.

51 - 200 employees

👥 HR Tech

🎯 Recruiter

📋 Description

• Set up, test, and maintain UI configurations for annotation tasks using third-party and internal platforms. • Build and adapt Python-based automation scripts for annotation pipelines, data processing, logging, and telemetry. • Collaborate with researchers, engineers, PMs, and annotators to gather requirements and design workflows. • Own projects end-to-end — from requirement gathering through delivery of annotated datasets. • Track progress, manage risks, and implement corrective actions to keep workflows on track. • Troubleshoot issues related to UI, pipelines, and data formatting. • Document workflows and contribute to internal tools, playbooks, and pipeline validation logic. • Support annotation operations across varied data types — with focus on LLMs and GenAI training.

🎯 Requirements

• 2–5 years of experience in data annotation operations, ML data workflows, or software/data engineering. • Proficiency in Python scripting for automation and data handling (JSON, JSONL, CSV). • Experience with annotation tooling (e.g., Scale AI, Labelbox, SuperAnnotate) is highly preferred. • Comfort working with AWS S3 and cloud-based storage pipelines. • Strong communication skills to interface with technical and non-technical stakeholders. • Experience in multi-stage annotation workflows or model-in-the-loop systems. • Bonus: familiarity with telemetry systems, GenAI/LLM training environments, or RLHF pipelines.

🏖️ Benefits

• full benefits • PTO • excellent company culture