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No Experience Image Annotation Jobs in Massachusetts

Our annotation pipeline measures itself: race-free case claiming, per-annotator phase progression ... No visa sponsorship needed, none implied. Working from outside the US: core repositories are ...

Even if you don't have previous Restaurant experience, this position is entry-level (yes, that's no experience required) and we provide paid training for every new Restaurant Cook on the team. We ...

Even if you don't have previous Restaurant experience, this position is entry-level (yes, that's no experience required) and we provide paid training for every new Restaurant Cook on the team. We ...

Even if you don't have previous Restaurant experience, this position is entry-level (yes, that's no experience required) and we provide paid training for every new Restaurant Cook on the team. We ...

Experienced in data labelling, annotation, content review, or similar detail-oriented work (2+ year ... S. (no visa sponsorship available) * Eligible Locations: NYC, Seattle, Bellevue, Redmond, San ...

AI Finance Expert - Remote

Boston, MA · Remote

$100 - $200/hr

No prior AI experience is required--your financial expertise, analytical skills, and professional ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

AI Finance Expert - Remote

Boston, MA · Remote

$100 - $200/hr

No prior AI experience is required--your financial expertise, analytical skills, and professional ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

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No Experience Image Annotation information

See Massachusetts salary details

$12.1K

$67K

$86.1K

How much do no experience image annotation jobs pay per year?

As of Aug 30, 2026, the average yearly pay for no experience image annotation in Massachusetts is $66,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,100.00 and $85,500.00 per year, depending on experience, location, and employer.

What is a no experience image annotation?

A No Experience Image Annotation job involves labeling, tagging, or categorizing images to help train AI models, often for machine learning and computer vision applications. These roles typically do not require prior experience, as companies provide guidelines on how to annotate images correctly. The tasks may include drawing bounding boxes, identifying objects, or adding descriptive labels. It is usually a remote or freelance role, making it accessible to beginners looking to enter the AI and data annotation field.

What does a no experience image annotation do?

In a No Experience Image Annotation role, your daily responsibilities typically include labeling images or objects within images according to specific project instructions, reviewing annotated work for accuracy, and occasionally participating in quality checks. You may also provide feedback on annotation challenges or unclear guidelines to your supervisors or team leads. Much of the work is independent and computer-based, though some projects involve collaboration through online communication tools. As you gain experience, you may have opportunities for more complex annotation tasks or to move into quality assurance or project coordination roles. Overall, the role is well-suited for detail-oriented individuals comfortable working independently on repetitive but crucial tasks.

What are the key skills and qualifications needed to thrive in the no experience image annotation position?

To thrive as a No Experience Image Annotation professional, attention to detail, basic computer skills, and the ability to follow guidelines precisely are essential. Familiarity with annotation software or image-labeling platforms is helpful, though most positions provide training and do not require formal certifications. Strong communication, patience, and time management skills help individuals excel in meeting project deadlines and collaborating with remote teams. These abilities ensure high-quality, accurate annotations that are crucial for developing reliable AI and machine learning datasets.

What are the most commonly searched types of Image Annotation jobs in Massachusetts?

The most popular types of Image Annotation jobs in Massachusetts are:

What are popular job titles related to No Experience Image Annotation jobs in Massachusetts?

For No Experience Image Annotation jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching No Experience Image Annotation jobs in Massachusetts look for?

The top searched job categories for No Experience Image Annotation jobs in Massachusetts are:

What cities in Massachusetts are hiring for No Experience Image Annotation jobs?

Cities in Massachusetts with the most No Experience Image Annotation job openings:

Ophthalmologist (Medical Data Labeling Specialist)

Boston, MA • On-site

Saviance
IT Services • 201 - 500 employees

Other

Re-posted 6 days ago


Job description

Ophthalmologist (Medical Data Labeling Specialist)

Location: India, Remote

Duration: Ongoing Part-Time

About BigRio

BigRio is a Boston-based, remote-first technology consulting firm specializing in advanced data and software solutions. We partner with forward-thinking organizations to deliver scalable, cost-effective, and innovative technology, with particular expertise in AI/ML, data engineering, and cloud-native applications. Our clients span healthcare, life sciences, government, and enterprise sectors, and we are known for our ability to tackle complex challenges with cutting-edge solutions.

About Job:

This role leverages the clinical expertise of an ophthalmologist to accurately annotate and label medical data, primarily images and structured clinical data related to eye health, for the development and refinement of artificial intelligence (AI) and machine learning (ML) models in ophthalmology.

Responsibilities

Key responsibilities include:

  • Data Annotation: Reviewing and annotating various ophthalmic data like fundus images, Optical Coherence Tomography (OCT) scans, and other visual data, identifying anatomical structures and disease markers.
  • Adherence to Protocols: Applying standardized grading protocols consistently for accurate and consistent labeling.
  • Quality Control & Feedback: Participating in calibration sessions and reviews to maintain annotation consistency.
  • Collaboration: Working with AI engineers and data scientists to ensure the clinical validity of guidelines.
  • AI Model Validation: Validating AI model outputs for clinical accuracy and safety.
  • Patient Education Material Development (potential): Possibly creating or reviewing materials for AI/ML algorithms to provide accurate patient education.
  • Privacy and Security: Ensuring compliance with patient privacy and data security policies, like HIPAA.

Qualifications

Essential qualifications typically include:

  • Ophthalmologist (MBBS) with at least 1-2 years of clinical experience.
  • Extensive Clinical Knowledge: In-depth understanding of various eye conditions.
  • Experience in Clinical Data Review: Familiarity with medical record documentation.
  • Attention to Detail: Commitment to accurate annotation.
  • Communication Skills: Excellent communication skills, both written and verbal, in English.
  • Teamwork: Ability to collaborate effectively with a multidisciplinary team.

Required skills often include:

  • Medical Image Annotation: Proficiency in using annotation tools to delineate structures and pathologies
  • Data Interpretation and Assessment: Skill in interpreting data related to medical products and AI model performance.
  • Problem Solving: Ability to identify challenges and recommend solutions.
  • Adaptability: Ability to adapt to varying image resolutions and file formats.

This role offers a unique opportunity to contribute to the development of AI tools that can improve eye health and patient care on a wider scale.


Saviance logo

About Saviance

Sourced by ZipRecruiter

Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. We bring twenty three years of experience to the table. Our consultants are qualified experts and extremely talented. We understand the business behind the technology, and work with many of the top Fortune 100 companies and provide innovative, scalable, robust and secure solutions. At the forefront of the Staffing and IT Solutions industry, Saviance is certified by NMSDC as a Tier 1, Minority Business Enterprise (MBE) . We are a self- certified Small Business and self- certified Woman Owned Business committed to maximizing global workforce solutions on behalf of our clients, empowering businesses and talent through applied human intelligence. We are a Diversity Supplier with global reach specializing in a business services blend of talent, technology, and a relentless commitment to customer success. It’s our diversity that’s acts as a core component of our culture, our approach to business, and the opportunities we provide to our clients and our employees.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

East Rutherford, NJ, US

Year founded

1999

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