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Ai Annotation Jobs (NOW HIRING)

Artech

Annotation Operations Lead

Sunnyvale, CA · On-site

Strong understanding of AI/ML concepts, annotation workflows, and data quality assurance. * Basic knowledge of SQL and/or Python for data querying and scripting. * Ability to translate complex ...

LanceSoft, Inc.

Annotation Lead

Confidential company is seeking an Annotation Lead to fine-tune and calibrate AI/ML processes related to real estate transactions. The role involves reviewing annotated data for quality ...

Lancesoft

Annotation Lead

Los Angeles, CA · On-site

$38 - $42/hr

Artificial Intelligence (AI) and Machine Learning (ML) are at the heart of the organization ... The Annotation Judge plays a crucial role in fine-tuning and calibrating AI/ML processes that ...

Lancesoft

Annotation Lead

Seattle, WA · On-site

$45 - $50/hr

Artificial Intelligence (AI) and Machine Learning (ML) are at the heart of the organization ... The Annotation Judge plays a crucial role in fine-tuning and calibrating AI/ML processes that ...

Lancesoft

Annotation Lead

San Francisco, CA · On-site

$40 - $42/hr

Artificial Intelligence (AI) and Machine Learning (ML) are at the heart of the organization ... The Annotation Judge plays a crucial role in fine-tuning and calibrating AI/ML processes that ...

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$99K

$131.1K

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How much do ai annotation jobs pay per year?

As of Jun 5, 2026, the average yearly pay for ai annotation in the United States is $131,125.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $160,000.00 per year, depending on experience, location, and employer.

What is an AI Annotation job?

An AI Annotation job involves labeling, tagging, or annotating data, such as images, text, or audio, to train machine learning models. Annotators help improve AI accuracy by providing high-quality, structured data that algorithms use to learn patterns. Tasks may include identifying objects in images, transcribing speech, or classifying text-based content. This job is essential for developing AI applications like self-driving cars, chatbots, and image recognition systems.

What are the key skills and qualifications needed to thrive in the Ai Annotation position, and why are they important?

To thrive as an AI Annotation professional, you need keen attention to detail, strong analytical skills, and a basic understanding of machine learning concepts, often supported by a high school diploma or relevant technical training. Familiarity with data labeling tools, annotation platforms such as Labelbox or Supervisely, and basic spreadsheet or database management is commonly required. Strong communication, time management, and the ability to maintain focus during repetitive tasks are standout soft skills. These abilities are crucial for producing high-quality, consistent data that supports the effective development and accuracy of AI models.

What are the typical daily responsibilities of an AI Annotation specialist?

As an AI Annotation specialist, your typical day will involve accurately labeling, categorizing, or tagging large volumes of images, text, audio, or video data to train AI models according to project guidelines. You may work independently or as part of a team, using specialized annotation platforms and regularly reviewing your work to ensure quality and consistency. Collaboration with data scientists or project managers may be required to clarify ambiguous cases or update labeling criteria. You can expect periodic feedback and performance reviews to help refine your skills and ensure the data meets the project’s standards, making attention to detail and adaptability essential for success.
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Ai Annotation jobs near you
Infographic showing various Ai Annotation job openings in the United States as of May 2026, with employment types broken down into 53% Full Time, 7% Part Time, and 40% Contract. Highlights an 47% In-person, and 53% Remote job distribution, with an average salary of $131,125 per year, or $63 per hour.

Annotation Operations Lead

Artech

Sunnyvale, CA • On-site

Full-time

Posted 9 days ago

Job description

Location: Sunnyvale, CA (Onsite) Introduction This full-time contractor role involves regular collaboration with data collection, annotation, and algorithm development partners. The role serves as the primary point of contact for the scoping, bring-up, and management of multi-discipline data annotation projects within the organization. Required Skills & Qualifications
  • 5 years in operations, project management, or data analysis, with at least 2 years specifically in data annotation operations.
  • Proven history of success in leading and managing large scale annotations for multimodal data, including image, video, text, audio, sensor data, metadata, etc.
  • Experience with data labeling platforms.
  • Strong understanding of AI/ML concepts, annotation workflows, and data quality assurance.
  • Basic knowledge of SQL and/or Python for data querying and scripting.
  • Ability to translate complex technical requirements into clear, easy-to-understand instructions for non-technical staff.
  • Experience managing complex, cross-functional projects, often with international or remote teams.
  • Familiarity with budget tracking, cost reporting, or operational financial practices.
  • A Bachelor's degree in engineering related fields.
  • Prior work experience at client or in client's Industry.
Applicants must be able to work directly for Artech on W2. Preferred Skills & Qualifications
  • Experience with annotation tool and/or AIML model development.
Day-to-Day Responsibilities
  • Design, develop and optimize annotation workflow and instructions to ensure high-throughput, scalability, and accurate annotation.
  • Partner with engineering teams to define and align on annotation tool requirements.
  • Establish and enforce rigorous QA/QC processes for annotation accuracy and consistency.
  • Develop annotation project timeline and ensure the successful delivery of annotations.
  • Track, facilitate, and direct priorities for several concurrent annotation efforts.
  • Track key performance metrics such as throughput (labels per hour), quality scores, and spend against targets, and provide regular reports to stakeholders.
  • Develop and implement annotation working guidelines to ensure compliance with the organization's security, privacy, and financial guidelines.
  • Monitor financial states of purchase orders and budgets to ensure careful spending for uninterrupted service from the vendor.
  • Drive supply, equipment, and software ordering in coordination with stakeholders.
  • Find, socialize, and implement program improvements in coordination with stakeholders.
  • Facilitate project clearances, non-disclosure agreements, and Restricted Project Agreements.
  • Ensure vendor compliance with statements of work and service level agreements.
Company Benefits & Culture
  • Collaborative work environment with cross-functional teams.
  • Opportunities for professional growth and development.
  • Commitment to diversity and inclusion.
For immediate consideration please click APPLY to begin the screening process with Alex.

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