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Remote Video Annotation Jobs in Massachusetts (NOW HIRING)

EPITEC

Software Engineer III

Cambridge, MA · Remote

$97.50/hr

Job #104385 Title Software Engineer III Client Fortune 25 Company Location Remote, Within the ... Build and deploy internal tools and annotation task UIs using React and TypeScript * Develop ...

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Remote Video Annotation information

What is remote video annotation?

Remote video annotation is the process of labeling or tagging objects, actions, or events in video footage while working from a location outside of a traditional office, typically from home. Annotators use specialized software tools to draw boxes, create masks, or assign labels to specific frames or sequences in videos. This annotated data is essential for training and improving computer vision models used in applications like self-driving cars, security systems, and entertainment technology. Remote video annotation jobs offer flexibility, but often require attention to detail, strong computer skills, and the ability to follow detailed guidelines.

What are the typical daily tasks and challenges faced by a Remote Video Annotation specialist?

As a Remote Video Annotation specialist, your daily tasks typically include reviewing video footage, accurately labeling objects or actions according to specific guidelines, and ensuring data consistency for machine learning projects. One common challenge is maintaining high attention to detail over long periods, as precise annotations are crucial for training effective AI models. Additionally, you'll often collaborate with project managers or quality assurance teams to clarify requirements, discuss edge cases, and receive feedback. Flexibility and good time management are important, as workloads can vary based on project deadlines and client needs.

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

To excel as a Remote Video Annotation Specialist, you need strong attention to detail, visual accuracy, and basic computer literacy, often supported by prior experience in data labeling or related fields. Familiarity with annotation platforms (such as CVAT or Labelbox) and understanding of video formats and metadata are typically required. Effective time management, reliability, and clear communication help specialists meet deadlines and collaborate remotely. These skills ensure precise data labeling, which is crucial for training high-performing AI and machine learning models.

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

AspectRemote Video AnnotationRemote Data Labeling
Primary FocusAnnotating objects, actions, and events in videosLabeling data across various formats, including images, text, and videos
Work EnvironmentRemote, often collaborative with video review toolsRemote, using labeling platforms for different data types
Required SkillsAttention to detail, understanding of video contentAccuracy, familiarity with labeling tools

Remote Video Annotation specifically involves marking objects and actions within videos, while Remote Data Labeling covers a broader range of data types, including images and text. Both roles require attention to detail and remote work skills, but Video Annotation focuses on video content analysis, making it more specialized within the data labeling industry.

What are the most commonly searched types of Video Annotation jobs in Massachusetts? The most popular types of Video Annotation jobs in Massachusetts are:
What are popular job titles related to Remote Video Annotation jobs in Massachusetts? For Remote Video Annotation jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Remote Video Annotation jobs in Massachusetts look for? The top searched job categories for Remote Video Annotation jobs in Massachusetts are:
What cities in Massachusetts are hiring for Remote Video Annotation jobs? Cities in Massachusetts with the most Remote Video Annotation job openings:
Remote Video Annotation jobs near you
Infographic showing various Remote Video Annotation job openings in Massachusetts as of June 2026, with employment types broken down into 46% Full Time, 28% Part Time, and 26% Contract. Highlights an 100% Remote job distribution.
Software Engineer III

Software Engineer III

EPITEC

Cambridge, MA • Remote

$97.50/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

  • Location: Cambridge, Massachusetts
  • Type: Contract
  • Job #104385
Title
Software Engineer III
Client
Fortune 25 Company
Location
Remote, Within the United States
Schedule
Monday - Friday
Type
Full-time, Ongoing W2, 12-Month Contract, New Role & Possible Extensions
Pay Rate
$97.50, with overtime pay and a half
Benefits
3 Weeks PTO, Medical, Dental, Vision, 401(k), Life Insurance, Disability Coverage, Holidays Off but Unpaid
Summary
Our client is seeking an AI Engineer to help build and scale next-generation multimodal AI systems. This role focuses on developing data engines and evaluation platforms that transform raw multi-format data into high-quality benchmarks used to advance large-scale AI models.
This position is ideal for an engineer with strong experience in machine learning systems, dataset development, and model evaluation who thrives in research-driven and highly technical environments.
The AI Engineer will collaborate with cross-functional teams of researchers and engineers to design datasets, fine-tune models, and build tools that support large-scale AI training and evaluation workflows.
Key Responsibilities
Data Engineering & Dataset Development
  • Design and curate datasets for training and evaluating multimodal models (image, video, audio, and text data)
  • Develop methods to bootstrap, augment, and rebalance datasets using machine learning models
  • Ensure high-quality data pipelines that support large-scale model training
Model Evaluation & Optimization
  • Run model evaluations and implement evaluation metrics for multimodal systems
  • Fine-tune models using labeled datasets to improve performance and accuracy
  • Analyze model outputs to improve training data and benchmarking processes
Platform & Tool Development
  • Build and deploy internal tools and annotation task UIs using React and TypeScript
  • Develop scalable data ingestion pipelines from warehouses, storage systems, and flat files
  • Support high-volume data processing and system optimization
Cross-Functional Collaboration
  • Partner with research and engineering teams to align on model development and evaluation needs
  • Translate research requirements into scalable engineering solutions
  • Contribute to the development of production-ready AI systems
Required Education & Experience
  • Bachelor's degree in Computer Science, Engineering, or related field
  • 4+ years of experience in machine learning, data engineering, or AI systems development
Required Skills & Qualifications
  • Experience working with multimodal data (image, video, audio, and text)
  • Strong programming experience in Python or similar languages
  • Experience with machine learning model training and evaluation workflows
  • Strong understanding of data pipelines and large-scale data processing
  • Experience building frontend tools using React and TypeScript
  • Strong analytical and problem-solving skills
Preferred Skills & Qualifications
  • Experience with large language models (LLMs) or multimodal models (MLLMs)
  • Familiarity with dataset annotation workflows and tooling
  • Experience with distributed systems or large-scale compute environments
  • Background in research-driven or experimental AI environments

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