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Data Annotation For Ai Jobs in Worcester, MA (NOW HIRING)

Amazon

Sr Technical Program Manager, GO-AI

Westborough, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... data annotation processes to state-of-the-art foundation model solutions. GO-AI's Technology ... responsible for GO-AI's technical strategy, platform capabilities, and delivery. As a Senior ...

Amazon

Sr Technical Program Manager, GO-AI

Westborough, MA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... data annotation processes to state-of-the-art foundation model solutions. GO-AI's Technology ... responsible for GO-AI's technical strategy, platform capabilities, and delivery. As a Senior ...

Xometry

Principal Data Scientist - Gen AI

Waltham, MA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The ideal candidate will have a passion for advancing machine learning and generative AI ... Data & ML Operations: Design and implement efficient workflows for data preparation, cleaning, and ...

Xometry

Principal Data Scientist - Gen AI

Waltham, MA · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Xometry is seeking an exceptional Principal Data Scientist to join our Generative AI team ... The ideal candidate will have a passion for advancing machine learning and generative AI ...

SharkNinja

Machine Learning and AI Opportunities

Needham, MA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI at SharkNinja At SharkNinja, we're building an AI-native culture. We're not waiting for the ... requirements for API-first and event driven integrations across CRM/ERP/eCommerce and data ...

SharkNinja

Director, Data Engineering

Needham, MA · On-site

You will serve as SharkNinja's champion for AI agentic development, embedding autonomous, agent-driven capabilities into the data engineering function and scaling them across the enterprise. This is ...

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All JobsData Annotation For Ai JobsData Annotation For Ai Jobs in Worcester, MA

Data Annotation For Ai information

What is the difference between Data Annotation For Ai vs Data Labeler?

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

What are the key skills and qualifications needed to thrive as a data annotation specialist for AI, and why are they important?

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.

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Data Annotation For Ai jobs near you

AI Trainer - Microbiology Expert

micro1 AI

Worcester, MA • Remote

$70 - $90/hr

Part-time

Posted 17 days ago

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

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