India, Remote Duration: Ongoing Part-Time About BigRio BigRio is a Boston-based, remote-first ... Medical Image Annotation: Proficiency in using annotation tools to delineate structures and ...
India, Remote Duration: Ongoing Part-Time About BigRio BigRio is a Boston-based, remote-first ... Medical Image Annotation: Proficiency in using annotation tools to delineate structures and ...
Image Labeling Remote information
See Boston, MA salary details
$11.23 - $11.89
3% of jobs
$11.89 - $12.56
3% of jobs
$12.56 - $13.22
11% of jobs
$13.47 is the 25th percentile. Wages below this are outliers.
$13.22 - $13.89
21% of jobs
The median wage is $14.50 / hr.
$13.89 - $14.55
13% of jobs
$14.55 - $15.22
11% of jobs
$15.22 - $15.88
4% of jobs
$16.35 is the 75th percentile. Wages above this are outliers.
$15.88 - $16.55
13% of jobs
$16.55 - $17.21
14% of jobs
$17.21 - $17.88
3% of jobs
$17.88 - $18.54
4% of jobs
$11
$15
$18
How much do image labeling remote jobs pay per hour?
As of Jun 14, 2026, the average hourly pay for image labeling remote in Boston, MA is $15.17, according to ZipRecruiter salary data. Most workers in this role earn between $13.56 and $16.73 per hour, depending on experience, location, and employer.
What is image labeling in a remote job?
Image labeling in a remote job involves tagging or annotating images with relevant information or categories from your home or any location outside of a traditional office. This process helps train machine learning models to recognize objects, people, or scenes within images. Remote image labelers use specialized software to identify and mark features according to project guidelines. The work is often flexible and may be paid per task or per hour, depending on the employer.
What is the difference between Image Labeling Remote vs Data Annotation Specialist?
| Aspect | Image Labeling Remote | Data Annotation Specialist |
|---|---|---|
| Credentials | Basic computer skills, attention to detail | Basic computer skills, attention to detail |
| Work Environment | Remote, flexible hours | Remote or on-site, flexible hours |
| Industry Usage | AI, machine learning, computer vision | AI, machine learning, data processing |
| Search & Comparison Intent | Often compared for similar data labeling roles | Related role in data preparation |
Image Labeling Remote and Data Annotation Specialist roles both involve preparing data for AI systems, often working remotely with similar skills. However, Image Labeling Remote typically focuses specifically on labeling images and visual data, while Data Annotation Specialist may include a broader range of data types like text or audio. Both roles are essential in AI development and share similar work environments and skill requirements.
What are the key skills and qualifications needed to thrive as an Image Labeling Remote worker, and why are they important?
To thrive as an Image Labeling Remote worker, you need strong attention to detail, basic computer literacy, and familiarity with data annotation concepts, often supported by a high school diploma or equivalent. Proficiency with image labeling platforms such as Labelbox, Supervisely, or proprietary annotation tools is typically required. Reliability, self-motivation, and the ability to follow precise instructions make someone stand out in this position. These skills ensure that labeled data is accurate and consistent, which is crucial for training high-quality machine learning models.
What are some common challenges faced by remote image labeling professionals, and how can they be managed?
Remote image labeling professionals often encounter challenges such as maintaining focus during repetitive tasks, ensuring high accuracy, and communicating effectively with team members across different time zones. To manage these, it's helpful to set up a dedicated, distraction-free workspace, take regular breaks to prevent fatigue, and use collaboration tools like Slack or project management platforms to stay connected with the team. Adhering closely to labeling guidelines and participating in regular quality reviews also help maintain accuracy and consistency.
What are popular job titles related to Image Labeling Remote jobs in Boston, MA? For Image Labeling Remote jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Image Labeling Remote jobs in Boston, MA look for? The top searched job categories for Image Labeling Remote jobs in Boston, MA are:
Other
Posted 19 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:
Essential qualifications typically include:
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.
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.
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.
- 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.
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