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Hourly Remote Data Annotation Jobs in Massachusetts

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ...

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ...

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ...

AI Finance Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Finance Domain Experts to contribute their ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

AI Finance Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Finance Domain Experts to contribute their ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

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Hourly Remote Data Annotation information

What are the key skills and qualifications needed to thrive as an hourly remote data annotation specialist?

To excel as an Hourly Remote Data Annotation Specialist, you need strong attention to detail, accuracy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency with annotation platforms, labeling tools (like Labelbox or Supervisely), and sometimes basic knowledge of spreadsheets or image/video editing software is typically required. Reliability, time management, and clear communication are vital soft skills for succeeding in a remote, deadline-driven environment. These abilities ensure high-quality, consistent annotations that are critical for training AI models and meeting project requirements.

What are some common challenges faced by hourly remote data annotation workers and how can they be addressed?

Hourly remote data annotation workers often encounter challenges such as repetitive tasks, maintaining high accuracy, and managing time effectively without direct supervision. To address these, it's important to establish a structured daily routine, take regular breaks to prevent fatigue, and utilize any quality control guidelines provided by the employer. Staying in regular communication with team leads or project managers can also help clarify any ambiguities and ensure consistent work quality.

What is the difference between Hourly Remote Data Annotation vs Hourly Remote Data Labeling?

AspectHourly Remote Data AnnotationHourly Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML projects for training dataCommon in AI/ML projects for training data
Job FocusAdding annotations to data (e.g., bounding boxes, tags)Assigning labels to datasets for model training

Both roles involve working remotely to prepare data for machine learning models. Data annotation typically involves marking specific features within data, while data labeling involves categorizing data into predefined classes. The skills and work environment are similar, making them closely related but distinct tasks within AI data preparation.

What is hourly remote data annotation?

Hourly remote data annotation involves labeling or categorizing data, such as images, text, or audio, for use in machine learning and artificial intelligence projects. Annotators work from home and are usually paid by the hour to review and tag data according to specific guidelines provided by the employer. This work is essential for training algorithms to recognize patterns or interpret information accurately. Data annotation tasks vary and can include image classification, text categorization, or identifying objects within media. It’s a popular entry-level remote job that requires attention to detail and the ability to follow instructions closely.

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

The most popular types of Remote Data Annotation jobs in Massachusetts are:

What are popular job titles related to Hourly Remote Data Annotation jobs in Massachusetts?

For Hourly Remote Data Annotation jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Hourly Remote Data Annotation jobs in Massachusetts look for?

The top searched job categories for Hourly Remote Data Annotation jobs in Massachusetts are:

What cities in Massachusetts are hiring for Hourly Remote Data Annotation jobs?

Cities in Massachusetts with the most Hourly Remote Data Annotation job openings:

AI Data Scientist Expert - Remote

YO AI Labs

Boston, MA • Remote

$100 - $200/hr

Part-time

Posted 5 days ago


Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.