Data Annotation Engineer

Job not on LinkedIn

July 28

🏄 California – Remote

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

💵 $86 - $90 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

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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

• Serving as a technical lead for annotation project design, setup and operations, you’ll work closely with engineers, researchers, and operations leads to configure scalable workflows, integrate automation, and bring models into the loop. • You’ll also help design and maintain pipelines that support seamless task transitions across multi-stage workflows — enabling scalable, efficient annotation of high-quality datasets. • Set up, test, and maintain UI configurations for annotation tasks using a third-party annotation platform and internal tooling. • Design and adapt automation scripts in annotation pipelines, Data processing, logging and telemetry • Collaborate with product managers, engineers, researchers, data annotators, and other cross-functional team members for annotation project set up, requirement gathering, prioritization, pre-annotation and post-annotation processing and quality review. • Act as the single-threaded owner of each project end to end— from requirement gathering to dataset delivery. • Communicate project updates, address concerns, and align expectations to ensure successful project outcomes. • Track project progress, identify risks, and implement corrective actions as necessary to keep projects on course. • Troubleshoot project setup issues, pipeline failures, and UI bugs. • Develop and maintain technical guidelines, playbooks, and internal tools to build and operate annotation projects. • Lead and support general annotation operation improvement initiatives across various data domains.

🎯 Requirements

• Bachelor's degree with 3+ years of experience in operations (AI/NLP operations, product operations, or data analysis) or software development. • Strong problem-solving skills with a systems-thinking and automation-first mindset • Proficiency with Python scripting, for data processing and automation. • Excellent communication skills and the ability to interface with both technical and operational teams • Familiarity with structured data formats (CSV, JSON, JSONL), cloud storage (e.g., S3), telemetry and monitoring concepts • Experience with data annotation platforms, modern ETL systems, machine learning is a bonus.

🏖️ Benefits

• full benefits • PTO • amazing company culture!