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Flexible Amazon Data Annotation Jobs in Boston, MA

Sereact GmbH

Teleoperation Engineer

Boston, MA · On-site

$60K - $90K/yr

Background in data annotation, quality assurance, or structured data collection pipelines ... Flexible working hours * Option to work from home when needed * A motivated team and an open ...

Amazon

EHS Specialist

Plymouth, MA · On-site

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... Transform safety data into compelling narratives that influence positive change and drive ...

Amazon

EHS Specialist

Andover, MA · On-site

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... Transform safety data into compelling narratives that influence positive change and drive ...

Amazon

Sr System Reliability Engineer

Reading, MA · On-site

Amazon is seeking exceptional talent to help develop the next generation of advanced robotics ... test plans and data collection strategies - Assess vendor reliability data - Advocate for the ...

Amazon

Financial Analyst, Pharmacy Finance

Boston, MA · On-site

... Data Warehouse and SQL Amazon is an equal opportunity employer and does not discriminate on the ... Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid ...

Amazon

Senior Applied Scientist , AGI

Boston, MA · On-site

Amazon's Artificial General Intelligence (AGI) organization is seeking a talented Applied Scientist ... Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid ...

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All JobsAmazon Data Annotation JobsFlexible Amazon Data Annotation JobsFlexible Amazon Data Annotation Jobs in Boston, MA

Flexible Amazon Data Annotation information

What is a flexible Amazon data annotation?

A Flexible Amazon Data Annotation job involves labeling, categorizing, or identifying data (such as text, images, or videos) to help train artificial intelligence and machine learning models used by Amazon. Workers perform these tasks remotely and can often choose their own hours, making the job flexible and suitable for people seeking part-time or supplemental work. The tasks may include tagging products, categorizing content, or transcribing information, depending on the project requirements. Attention to detail and accuracy are important, as annotated data directly impacts the performance of Amazon's AI systems.

What are the key skills and qualifications needed to thrive as a flexible Amazon data annotation specialist?

To thrive as a Flexible Amazon Data Annotation Specialist, you need strong attention to detail, analytical skills, and the ability to accurately label and categorize data, often supported by at least a high school diploma or equivalent. Familiarity with Amazon's proprietary annotation platforms, basic data management tools, and sometimes workflow tracking systems is typically required. Excellent communication, time management, and the ability to work independently make someone stand out in this position. These skills ensure high-quality, consistent data labeling, which is crucial for training reliable machine learning models and supporting Amazon’s AI-driven products.

What are some common challenges faced in a flexible Amazon data annotation role, and how can I prepare for them?

In a Flexible Amazon Data Annotation role, one common challenge is maintaining high accuracy while working with large volumes of data, often under tight deadlines. Adapting to evolving project guidelines and learning to use proprietary annotation tools efficiently are also typical hurdles. To prepare, familiarize yourself with data labeling best practices, develop strong attention to detail, and practice time management to ensure consistent productivity. Being proactive in seeking clarification when guidelines change and participating in any available training can also help you excel in the role.

What is the difference between Flexible Amazon Data Annotation vs Data Labeler?

AspectFlexible Amazon Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible hours
Industry UsageAmazon and e-commerce platformsVarious industries including e-commerce, AI training
Job FocusAnnotating data for Amazon AI modelsLabeling data for machine learning models

Flexible Amazon Data Annotation involves annotating data specifically for Amazon's AI systems, often requiring familiarity with Amazon's platform. Data Labelers perform similar tasks across multiple industries, focusing on preparing data for machine learning. Both roles are remote, entry-level, and involve data annotation, but Flexible Amazon Data Annotation is more specialized for Amazon's ecosystem.

Can I work for flexible Amazon data annotation with no experience?

Flexible Amazon data annotation roles typically do not require prior experience, as they often involve simple tasks like image labeling or data categorization. Basic computer skills and attention to detail are usually sufficient, and training is often provided to new workers. However, some tasks may have specific requirements or preferred skills, so reviewing the job listing is recommended.

How much do flexible Amazon data annotation jobs pay?

Flexible Amazon data annotation jobs typically pay between $10 and $15 per hour, depending on the complexity of the tasks and the platform used. Pay rates can vary based on experience, the specific project, and whether the work is freelance or through a staffing agency.

What are the most commonly searched types of Amazon Data Annotation jobs in Boston, MA?

The most popular types of Amazon Data Annotation jobs in Boston, MA are:

What are popular job titles related to Flexible Amazon Data Annotation jobs in Boston, MA?

For Flexible Amazon Data Annotation jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Flexible Amazon Data Annotation jobs in Boston, MA look for?

The top searched job categories for Flexible Amazon Data Annotation jobs in Boston, MA are:

Flexible Amazon Data Annotation jobs near you
Infographic showing various Flexible Amazon Data Annotation job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 26% Part Time, and 4% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Teleoperation Engineer

Sereact GmbH

Boston, MA • On-site

$60K - $90K/yr

Full-time

Posted 14 days ago

Job description

We are looking for a Teleoperation Engineer to sit at the intersection of our operations and engineering teams. In this role, you will train and manage the quality of a team of teleoperation operators, establish and maintain data collection standards, and act as the critical bridge between project management and the technical teams developing our teleoperation and policy systems. You will maintain direct teleoperation proficiency and translate operational insight into actionable engineering feedback, and vice versa. This role starts hands on and grows in scope and ownership as we scale.
Your Responsibilities
Teleoperation
  • Spend significant hands-on time operating our robotic systems directly. Active teleoperation is a core, ongoing part of this role, not an occasional task
  • Maintain direct proficiency across robotic systems and teleoperation interfaces (VR, joystick, or control rigs)
  • Set the standard for task execution and demonstration quality through your own operation

Training and Quality Management
  • Onboard and train new teleoperation operators, establishing consistent standards for task execution, data quality, and reporting
  • Monitor and evaluate operator performance and demonstration data quality across active projects
  • Establish and improve QA processes, and maintain oversight of data custody, tracking, reporting, and issue investigation
  • Develop and maintain SOPs, training materials, and quality frameworks for teleoperation workflows
  • Build and maintain the operational systems, trackers, reporting cadences, and documentation the function runs on
  • Maintain accurate logs of training outcomes, data quality metrics, and cross team feedback

Cross Team Coordination
  • Act as the primary bridge between the operations team and the engineering team (teleoperation and policy development), surfacing operator feedback, flagging systematic issues, and translating engineering guidance into practical operator instructions
  • Identify patterns in operator errors, edge cases, and system inconsistencies, and escalate them with structured, actionable context
  • Support engineering teams in improving data collection pipelines and interfaces based on operational insight

Qualifications
Education and Experience
  • 2+ years of professional experience in training, QA, or a technical environment
  • Completed or in progress technical degree highly preferred (Engineering, Computer Science, Data Science, etc)
  • Exposure to teleoperation or VR based gaming and control systems is a big plus
  • Background in a structured, process oriented, or fast paced operational setting

Skills
  • Strong communication and documentation skills with the ability to convey technical concepts across technical and non technical audiences
  • Proven ability to assess quality rigorously and coach others toward consistency
  • Comfortable working with digital tools, interfaces, and data driven workflows
  • Basic technical understanding sufficient to engage productively with engineering teams

Nice to Have
  • Direct experience with teleoperation systems, simulation environments, or robotics platforms
  • Familiarity with imitation learning or how demonstration data is used in robot policy training
  • Experience in competitive gaming, esports, or precision controller based tasks; strong spatial awareness and input consistency are directly applicable
  • Background in data annotation, quality assurance, or structured data collection pipelines
  • Experience with VR systems or immersive digital environments
  • Experience in a startup environment

What We Offer
  • Wellpass (gym membership)
  • Flexible working hours
  • Option to work from home when needed
  • A motivated team and an open corporate culture
  • Competitive compensation and excellent career development opportunities

Compensation & Benefits
Base salary range: USD $60,000-90,000 (actual pay based on skills, experience, and
location)

Apply