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Remote Computer Science Apprenticeship Jobs in Massachusetts

AI/ML Engineer - Computer Vision

Cambridge, MA · On-site +1

$121K - $143K/yr

AI/ML Engineer - Computer Vision AI/ML Engineer - Computer Vision Remote in US Full-Time About the ... Bachelor's degree in Computer Science, Engineering, Machine Learning, or a related field Preferred ...

Senior Data Engineer (REMOTE OR MA BASED)

Worcester, MA · On-site +1

$105K - $143K/yr

... remote work arrangement. This is a full-time, exempt position. POSITION OVERVIEW: This role will ... Bachelor's degree or higher in Data Science, Mathematics, Statistics, Computer Science, Information ...

Senior Data Engineer (REMOTE OR MA BASED)

Worcester, MA · On-site +1

$105K - $143K/yr

... remote work arrangement. This is a full-time, exempt position. POSITION OVERVIEW: This role will ... Bachelor's degree or higher in Data Science, Mathematics, Statistics, Computer Science, Information ...

Remote AI Architect

Boston, MA · Remote

$90 - $92/hr

Remote AI Architect needs 10+ years' experience enterprise-wide AI programs or platform buildouts ... Bachelor's degree in Computer Science, Engineering, or a related technical field. * 5+ years of ...

Research Mentor

Boston, MA · Remote

$75 - $100/hr

Medical/Biological Sciences Physics, Chemistry Computer Science, AI Environmental Sciences Compensation & Work Structure: $75-$100 per mentorship session Fully Remote (Must have stable internet ...

Research Mentor

Boston, MA · On-site +1

$75 - $100/hr

Medical/Biological Sciences ⚛ Physics, Chemistry Computer Science, AI Environmental Sciences Compensation & Work Structure: $75-$100 per mentorship session Fully Remote (Must have stable internet ...

Advanced degree (Master's or equivalent) in Computer Science, Engineering, Life Sciences, or other ... Proven record leading improvement initiatives with multi-disciplinary and remote partners.

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Remote Computer Science Apprenticeship information

What are the main challenges faced by remote computer science apprentices, and how can they be addressed?

Remote computer science apprenticeships often come with unique challenges such as limited face-to-face interaction, difficulty in accessing immediate support, and the need for self-discipline in managing time and tasks. To address these, it's important to proactively communicate with mentors through scheduled video meetings, participate in online team discussions, and utilize project management tools to stay organized. Seeking feedback regularly and engaging with online communities can also help bridge the gap and create a supportive learning environment.

What is the difference between Remote Computer Science Apprenticeship vs Remote Software Developer?

AspectRemote Computer Science ApprenticeshipRemote Software Developer
Required CredentialsTypically no prior experience, some programs accept beginnersOften requires a degree or proven coding skills
Work EnvironmentTraining-focused, mentorship, learning phaseProject-focused, independent coding tasks
Employer & Industry UsageUsed by tech companies for entry-level trainingUsed by companies for ongoing development roles

The Remote Computer Science Apprenticeship is designed for beginners entering the tech industry, emphasizing training and mentorship. In contrast, a Remote Software Developer role involves applying skills to real projects, often requiring prior knowledge. While apprenticeships focus on learning, software developer positions are more about executing development tasks remotely.

What is a Remote Computer Science Apprenticeship?

A Remote Computer Science Apprenticeship is a structured training program that allows individuals to learn computer science skills and gain real-world experience while working from a location outside of a traditional office, usually from home. Apprentices work under the guidance of experienced mentors, participate in projects, and develop both technical and soft skills relevant to the field. This model offers flexibility and accessibility, making it possible for people from various backgrounds or locations to enter the tech industry. Apprenticeships typically combine hands-on work with coursework or online learning, preparing participants for full-time roles in software development, IT, or related fields.

What are the key skills and qualifications needed to thrive as a Remote Computer Science Apprentice, and why are they important?

To thrive as a Remote Computer Science Apprentice, you need a foundational understanding of programming languages, algorithms, and data structures, often supported by coursework or relevant certifications. Familiarity with code collaboration tools like Git, integrated development environments (IDEs), and basic cloud services is typically expected. Strong problem-solving, self-motivation, and effective communication are crucial soft skills, especially when working remotely. These abilities ensure you can learn efficiently, contribute to projects, and collaborate with mentors and teams in a distributed work environment.
What are the most commonly searched types of Computer Science Apprenticeship jobs in Massachusetts? The most popular types of Computer Science Apprenticeship jobs in Massachusetts are:
What job categories do people searching Remote Computer Science Apprenticeship jobs in Massachusetts look for? The top searched job categories for Remote Computer Science Apprenticeship jobs in Massachusetts are:
What cities in Massachusetts are hiring for Remote Computer Science Apprenticeship jobs? Cities in Massachusetts with the most Remote Computer Science Apprenticeship job openings:

AI Trainer - Computer Science Expert - Graphical Abstract - Fully Remote - (Boston)

Prolific Academic Ltd

Boston, MA • Remote

Full-time

Posted 11 days ago


Job description

AI Trainer - GDM Graphical Abstract - Computer Science (Fully Remote)About Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We are seeking Computer Science Domain Experts to act as evaluators for a high-level AI verification project. AI models are now generating complex technical summaries, and we need specialists to ensure these outputs maintain scientific integrity and factual accuracy.

We need experts who can navigate dense scientific literature to judge the accuracy and structural integrity of AI-generated graphical abstracts. This is a flexible, ad hoc project where your technical expertise directly influences how AI understands and summarizes complex computer science research.

What you'll bring
  • Scientific Review: review computer science scientific papers alongside LLM-generated graphical abstracts.
  • Fact-Checking: identify issues and inaccuracies where the graphical abstract does not faithfully represent the source scientific paper.
  • Expert Verification: use your domain knowledge to ensure that technical concepts are visually and textually summarized correctly.
What you'll be doing in the role
  • Advanced Academic Credentials: you must hold a Master's or PhD in Computer Science.
  • Domain Expertise: specialized knowledge in STEM/Computer Science fields.
  • Analytical Skills: history with fact-checking tasks and a high level of basic cognitive competency.
Bonus Points
  • Previous experience with AI-related training or evaluation tasks.
  • Background in scientific publishing or peer review.
Why Prolific is a great platform to join as a Participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

Links to more information on Prolific

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.