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No Experience Machine Learning Data Annotation Jobs in Massachusetts

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$124K - $149K/yr

As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain ... Hands-on experience with PyTorch (preferred) or TensorFlow/JAX. You should be comfortable training ...

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

... no specific prior experience is necessary. This role is open to candidates available to begin in ... Experience working with and analyzing data from multiple sources and in multiple formats

Experience working with real-time data, large datasets, brain-computer Interface, and/or EEG data ... in various machine and deep learning applications/design especially regarding neural networks ...

Experience working with real-time data, large datasets, brain-computer Interface, and/or EEG data ... in various machine and deep learning applications/design especially regarding neural networks ...

As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain ... Experience working with large datasets, including proficiency in SQL and data libraries like Pandas ...

As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain ... Experience working with large datasets, including proficiency in SQL and data libraries like Pandas ...

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Guides students through data preprocessing, feature selection, building and comparing ...

Machine Learning Tutor

Newton, MA · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Guides students through data preprocessing, feature selection, building and comparing ...

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Guides students through data preprocessing, feature selection, building and comparing ...

Machine Learning Tutor

Lowell, MA · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Guides students through data preprocessing, feature selection, building and comparing ...

Machine Learning Tutor

Waltham, MA · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Guides students through data preprocessing, feature selection, building and comparing ...

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Guides students through data preprocessing, feature selection, building and comparing ...

Machine Learning Tutor

Boston, MA · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Guides students through data preprocessing, feature selection, building and comparing ...

Machine Learning Tutor

Quincy, MA · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Guides students through data preprocessing, feature selection, building and comparing ...

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No Experience Machine Learning Data Annotation information

What should I expect when collaborating with machine learning engineers as a data annotator with no prior experience?

As a data annotator working alongside machine learning engineers, you will play a vital role in preparing high-quality labeled data for model training. Engineers often provide clear guidelines and feedback on how to label or categorize data accurately, and they may hold regular check-ins to address questions and ensure consistency. While you may not need technical expertise, strong communication and attention to detail are essential, as your work directly impacts the performance of machine learning models. Over time, you’ll become familiar with annotation tools and may have the opportunity to take on more advanced tasks or quality assurance responsibilities.

What is a no experience machine learning data annotation job?

'No Experience Machine Learning Data Annotation' jobs are entry-level positions where individuals help label and categorize data used to train machine learning models. These roles do not require prior experience in data science or programming, making them accessible to beginners. Typical tasks may include tagging images, transcribing audio, or identifying objects in videos. These jobs are essential for improving the accuracy of AI systems and are often done remotely or on a flexible schedule.

What are the key skills and qualifications needed to thrive as a no experience machine learning data annotation specialist, and why are they important?

To succeed in a No Experience Machine Learning Data Annotation role, you need strong attention to detail, basic computer literacy, and the ability to follow precise instructions, often requiring at least a high school diploma. Familiarity with data labeling tools (like Labelbox or Supervisely) and experience with spreadsheet software are typically helpful, though many positions offer on-the-job training. Reliability, patience, and effective communication are valuable soft skills for maintaining quality and meeting deadlines. These skills ensure accurate, consistent data labeling, which is critical for training reliable machine learning models.

What is the difference between No Experience Machine Learning Data Annotation vs Data Labeling Specialist?

AspectNo Experience Machine Learning Data AnnotationData Labeling Specialist
Required CredentialsNo formal experience needed, training providedTypically similar, may require basic technical skills
Work EnvironmentRemote or office-based, repetitive tasksRemote or onsite, focused on data preparation
Industry UsageCommon in AI/ML companies, tech startupsUsed across tech, automotive, healthcare sectors
Search & Comparison IntentOften searched by beginners or entry-level job seekersCompared for skill requirements and job scope

Both roles involve labeling data for machine learning models, with minimal experience required. Data Labeling Specialists may have slightly more specialized tasks, but both are entry-level positions vital for AI development.

What are the most commonly searched types of Machine Learning Data Annotation jobs in Massachusetts? The most popular types of Machine Learning Data Annotation jobs in Massachusetts are:
What are popular job titles related to No Experience Machine Learning Data Annotation jobs in Massachusetts? For No Experience Machine Learning Data Annotation jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching No Experience Machine Learning Data Annotation jobs in Massachusetts look for? The top searched job categories for No Experience Machine Learning Data Annotation jobs in Massachusetts are:
What cities in Massachusetts are hiring for No Experience Machine Learning Data Annotation jobs? Cities in Massachusetts with the most No Experience Machine Learning Data Annotation job openings:

Ophthalmologist (Medical Data Labeling Specialist)

Saviance

Boston, MA • On-site

Other

Re-posted 10 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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