ZipRecruiter

Log In

2

Full Time Amazon Data Annotation Jobs (NOW HIRING)

Amazon

Area Manager, Amazon Pharmacy

Plainfield, IN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Provides senior leadership with business review data, identifying highlights and areas for ... BASIC QUALIFICATIONS - Bachelor's degree, or 2+ years of full-time Amazon experience - Experience ...

Sesame

Technical Program Manager, Data

San Francisco, CA · On-site

$200K - $260K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience managing full-time employees or contractors involved in data labeling. * Expertise in writing technical specifications for data annotation pipelines. Preferred Qualifications:

Amazon

AFE Ops Associate

Nashville, TN · On-site

  • Medical

  • Retirement

The ideal candidate will have a background in transportation and logistics, with excellent data ... full-time Amazon experience - Bachelor's degree in Engineering, Logistics, or a similar field ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

... full-time experience building reliable backend systems • Experience with Linux and command line ... data annotation and dataset management tools. Company : Figure is an AI robotics company that ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

... full-time experience building reliable backend systems • Experience with Linux and command line ... data annotation and dataset management tools. Company : Figure is an AI robotics company that ...

previous page

Showing results 41-60

All Jobsfull time JobsFull Time Amazon Data Annotation Jobs

Full Time Amazon Data Annotation information

What is the difference between Full Time Amazon Data Annotation vs Full Time Amazon Data Labeling?

AspectFull Time Amazon Data AnnotationFull Time Amazon Data Labeling
Required CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma or equivalent; attention to detail
Work EnvironmentOffice or remote; computer-based tasksOffice or remote; computer-based tasks
Employer & Industry UsageAmazon; e-commerce and AI trainingAmazon; AI and machine learning data preparation
Common Search & ComparisonYesYes

Full Time Amazon Data Annotation involves reviewing and marking data to help train AI models, focusing on identifying specific features in images, videos, or text. Full Time Amazon Data Labeling also involves preparing data for AI but may include more detailed categorization or tagging. Both roles require similar skills and are essential for AI development within Amazon's ecosystem.

How much do full time Amazon data annotation jobs pay?

Full-time Amazon data annotation jobs typically pay between $12 and $20 per hour, depending on experience and location. These roles often involve labeling data for machine learning models and may require basic computer skills and attention to detail.
More about Full Time Amazon Data Annotation jobs

What cities are hiring for Full Time Amazon Data Annotation jobs?

Cities with the most Full Time Amazon Data Annotation job openings:

What are the most commonly searched types of Amazon Data Annotation jobs?

The most popular types of Amazon Data Annotation jobs are:

What job categories do people searching Full Time Amazon Data Annotation jobs look for?

The top searched job categories for Full Time Amazon Data Annotation jobs are:

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

Strategic Projects Lead - Audio Data

Success Matcher Recruitment

Redwood City, CA • Hybrid

$140K - $160K/yr

Full-time

Re-posted 3 days ago

Job description

About the Company

Our client is building the foundational data and benchmark infrastructure for next-generation Voice AI, helping frontier AI labs train models to understand humanity across every language, dialect, and accent.

Backed by Y Combinator and over $3.5M in seed funding from top-tier Silicon Valley investors (including surgepoint, Amino Capital, and co-founders of Twitch and Cruise), they operate as a lean, elite team of ~10 scaling rapidly in the Bay Area.

About the Role

As the Strategic Projects Lead - Audio Data, you will own and deliver high-priority audio data collection projects end-to-end. In this high-ownership, ground-floor role, you will be the single-threaded owner of large-scale, six-figure+ contracts, driving messy and complex projects from customer kickoff through to final, high-quality delivery.

What You Will Do

  • Project Delivery: Manage complex audio data collection projects, overseeing contributor sourcing, engagement, quality assurance, and client communication.
  • Quantitative Operations: Track project progress and KPIs quantitatively. You will build dashboards, analyze throughput/quality data, and proactively solve operational bottlenecks.
  • Client Interface: Work directly with leading frontier AI labs to clarify requirements, deliver progress updates, and iterate based on their feedback.
  • Product Collaboration: Propose and drive technical and product changes with the engineering team to improve platform capabilities, contributor workflows, and QA tooling.
  • Resource Management: Hire and manage external QA resources as needed, collaborating directly with the co-founders and engineers to unblock delivery.

What You Bring

  • Experience: 2 to 7 years of data operations experience specifically on the supply side at a data annotation/labeling vendor company (e.g., Scale AI, Surge AI, Appen, Micro1, TELUS Digital, DataAnnotation, or a similar AI data startup).
  • Track Record: Proven success delivering six-figure+ data collection or annotation contracts end-to-end.
  • Technical Domain: Direct experience managing audio, speech, voice, or multimodal data projects.
  • Analytical Chops: Strong analytical skills with the ability to build dashboards and use data to solve quantitative operational problems.
  • QA Design: Quality workflow design experience, including creating annotation guidelines, QA rubrics, and quality control systems.
  • Mindset: Extreme ownership, resilience in the face of ambiguity, and a habit of pushing through obstacles to deliver results.
  • Presence: Ability to work full-time on-site (5 days/week) in the San Mateo/Redwood City, CA area.