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Home Based Remote Image Annotation Jobs in Massachusetts

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Home Based Remote Image Annotation information

What is the difference between Home Based Remote Image Annotation vs Home Based Remote Data Labeling?

AspectHome Based Remote Image AnnotationHome Based Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, home-basedRemote, home-based
Industry UsageAI training, computer visionAI training, machine learning
Job FocusAnnotating images with labels, bounding boxesLabeling data, categorizing datasets

Home Based Remote Image Annotation and Home Based Remote Data Labeling are similar roles involving remote work for AI training. Image annotation focuses on marking specific features within images, while data labeling involves categorizing data for machine learning. Both require attention to detail and are performed remotely, making them popular in AI and tech industries.

What are the key skills and qualifications needed to thrive as a Home Based Remote Image Annotation Specialist, and why are they important?

To thrive as a Home Based Remote Image Annotation Specialist, you need keen attention to detail, basic computer literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency with annotation tools like Labelbox, CVAT, or VGG Image Annotator is typically required, and experience with cloud-based systems can be advantageous. Strong time management, self-motivation, and clear communication help you meet deadlines and deliver consistent, high-quality work. These skills and qualities ensure accurate data preparation, which is crucial for training reliable AI and machine learning models.

What are home based remote image annotation jobs?

Home based remote image annotation jobs involve labeling or tagging objects, regions, or features within digital images to help train artificial intelligence (AI) and machine learning models. These roles are typically performed from home using a computer and specialized annotation tools provided by employers or platforms. Tasks may include drawing bounding boxes, polygons, or classifying objects in images, and attention to detail is crucial. This work supports industries like autonomous vehicles, healthcare, and e-commerce by improving AI accuracy. Most positions are freelance or part-time, offering flexible schedules for workers.

What are some common challenges faced by home-based remote image annotation professionals, and how can they be effectively managed?

One common challenge for remote image annotation professionals is maintaining consistent accuracy and focus when working independently for extended periods. Distractions at home and repetitive tasks can also lead to decreased productivity or errors. To manage these challenges, it's helpful to establish a dedicated workspace, adhere to a structured schedule, and take regular breaks to prevent fatigue. Additionally, staying connected with team members through regular check-ins can provide support, clarify guidelines, and ensure quality standards are met.
What are popular job titles related to Home Based Remote Image Annotation jobs in Massachusetts? For Home Based Remote Image Annotation jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Home Based Remote Image Annotation jobs in Massachusetts look for? The top searched job categories for Home Based Remote Image Annotation jobs in Massachusetts are:
What cities in Massachusetts are hiring for Home Based Remote Image Annotation jobs? Cities in Massachusetts with the most Home Based Remote Image Annotation job openings:
Home Based Remote Image Annotation jobs near you
Ophthalmologist (Medical Data Labeling Specialist)

Ophthalmologist (Medical Data Labeling Specialist)

Saviance

Boston, MA • Remote

Other

Posted 21 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.
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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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