Data Operations Specialist - GenAI Annotation

Remote Jobs; Santa Clara (CA); Remote; USD 100,000 - 125,000; Full time

Job summary

A tech employer specializing in AI is seeking a candidate for a fully remote Data Annotation position. The role involves setting up UI configurations, building automation scripts, and collaborating with a dynamic team. Candidates should have 2-5 years of experience and proficiency in Python. Competitive pay ranges from $40 to $60 per hour, with a full benefits package available.

Benefits

Competitive pay

Full benefits package

PTO

Qualifications

• 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).
• Strong communication skills to interface with technical and non-technical stakeholders.

Responsibilities

• Set up, test, and maintain UI configurations for annotation tasks using various platforms.
• Build and adapt Python-based automation scripts for annotation pipelines and data processing.
• Collaborate with researchers and engineers to gather requirements and design workflows.

Skills

Python scripting for automation

Data annotation operations

Communication skills

Tools

AWS S3

Annotation tooling (Scale AI, Labelbox, SuperAnnotate)

Job description

Employer Industry: Technology - Artificial Intelligence and Computing

Why consider this job opportunity:

• Competitive pay range of $40-$60/hr based on experience and location
• Full benefits package, including PTO
• Fully remote position within the U.S. with a preference for Pacific Time
• Opportunity to work with a dynamic team focused on AI and accelerated computing
• Engaging company culture that values innovation and collaboration

What to Expect (Job Responsibilities):

• Set up, test, and maintain UI configurations for annotation tasks using various platforms
• Build and adapt Python-based automation scripts for annotation pipelines and data processing
• Collaborate with researchers, engineers, and PMs to gather requirements and design workflows
• Own projects from requirement gathering through delivery of annotated datasets
• Troubleshoot issues related to UI, pipelines, and data formatting

What is Required (Qualifications):

• 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)
• Familiarity with AWS S3 and cloud-based storage pipelines
• Strong communication skills to interface with technical and non-technical stakeholders

How to Stand Out (Preferred Qualifications):

• Experience in multi-stage annotation workflows or model-in-the-loop systems
• Familiarity with telemetry systems, GenAI/LLM training environments, or RLHF pipelines

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