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Annotation Tech Jobs (NOW HIRING)

Voxelcloud

Chief Technology Officer

Los Angeles, CA

As Voxelcloud's technology moves from early development and validation into full productization ... Optimize annotation data quality and label consistency for R&D in a cost-efficient way. o Work with ...

Voxelcloud

Chief Technology Officer

Los Angeles, CA · On-site

As Voxelcloud's technology moves from early development and validation into full productization ... Optimize annotation data quality and label consistency for R&D in a cost-efficient way. o Work with ...

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Annotation Tech information

What are the key skills and qualifications needed to thrive as an Annotation Tech, and why are they important?

To thrive as an Annotation Tech, you need strong attention to detail, data labeling proficiency, and familiarity with data annotation guidelines, often supported by a background in computer science or related fields. Experience with annotation platforms such as Labelbox, Supervisely, or CVAT, and sometimes knowledge of basic scripting or data formats like JSON and XML, is typically required. Excellent communication, problem-solving skills, and the ability to follow complex instructions set top performers apart. These skills ensure high-quality, accurate data labeling that directly impacts the effectiveness of machine learning models.

What are some common challenges faced by Annotation Techs when working with large datasets?

Annotation Techs often work with large and diverse datasets, which can present challenges such as maintaining consistency and accuracy across annotations, especially when dealing with ambiguous or complex data. Additionally, the repetitive nature of the work can lead to fatigue, making it important to stay focused and adhere to established guidelines. Collaboration with data scientists and project managers is crucial to clarify requirements and address any uncertainties, ensuring that the annotated data meets project standards and deadlines.

What are Annotation Techs?

Annotation Techs, short for Annotation Technicians, are professionals who label, categorize, and tag data—such as images, text, or audio—to help train machine learning models. Their work is critical in fields like artificial intelligence, where high-quality, accurately labeled data is needed to teach algorithms how to recognize patterns and make decisions. Annotation Techs may use specialized software tools to identify objects in images, transcribe speech, or classify pieces of text. Attention to detail and consistency are key skills in this role, as errors or inconsistencies can affect the performance of AI systems. These professionals often work in teams and may collaborate with data scientists and engineers to ensure data quality.

What is the difference between Annotation Tech vs Data Labeler?

AspectAnnotation TechData Labeler
Required CredentialsHigh school diploma or equivalent; some roles may prefer technical certificationsHigh school diploma or equivalent; minimal certifications needed
Work EnvironmentOffice or remote; using specialized annotation toolsOffice or remote; using basic labeling software
Industry UsageAI, machine learning, autonomous vehicles, healthcareAI, machine learning, data preparation

Annotation Tech and Data Labeler roles often overlap in data preparation for AI projects. Annotation Tech typically involves more specialized tools and may require some technical knowledge, whereas Data Labelers focus on basic labeling tasks. Both roles are essential in training AI systems, but Annotation Tech positions often demand a deeper understanding of annotation processes and tools.

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Annotation Tech jobs near you
Infographic showing various Annotation Tech job openings in the United States as of May 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution.

Technical Product Manager - Data Annotation & Labelling

Skild AI

San Mateo, CA

$190.20K - $219.80K/yr

Other

Posted 12 days ago

Job description

Position Overview

We are looking for a Technical Product Manager - Data Annotation & Labelling with 5+ years of experience to lead and scale the full operations lifecycle for robotics data collection. This individual will manage a cross-functional team, build scalable systems, and make a significant impact in a rapidly evolving space. This role is crucial for driving execution and continuously improving workflows and systems to support rapid growth. This is a high visibility role that will have enormous impact on the company's trajectory. 

Responsibilities
  • Own and scale the full lifecycle for products pertaining to robotics data collection, labelling and annotation from physical setups to contractor management and annotation pipelines.
  • Drive data operations programs collaborating with operations managers, technicians and engineering
  • Build 0-1 solutions for large scale data pipelines
  • Work with executive leadership to develop data operations strategy and align these to overall corporate goal
Preferred Qualifications
  • 5+ years of experience in a fast-paced, startup-like environment
  • 2+ years in a technical role (e.g., engineer, program manager, product manager) at a technology company
  • Strong technical problem-solving skills, with the ability to quickly learn complex systems
  • Proven track record of supporting cross-functional stakeholders across customers, product, and engineering
  • Proven ability to communicate effectively with senior management
  • Ability to define and drive technology strategy
  • Previous entrepreneurial experience
  • Experience building products or initiatives from 0 to 1
  • BS/MS in Technical discipline

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