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Remote Entry Level Ai Engineer Jobs in Boston, MA

Wsgr

Innovations and AI Solutions Engineer

Boston, MA · On-site +1

The Innovation and AI Solutions Engineer is a self-directed, people-oriented employee who is ... This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities

DataRobot

Agentic AI Intern

Boston, MA · Remote

This is a fully remote position. The program runs approximately 6 months. WHAT YOU'LL DO: * Build and deploy agentic AI workflows that automate repeatable, high-volume engineering processes such as ...

DataRobot

Agentic AI Intern

Boston, MA · Remote

This is a fully remote position. The program runs approximately 6 months. WHAT YOU'LL DO: * Build and deploy agentic AI workflows that automate repeatable, high-volume engineering processes such as ...

Motional

Perception Engineer

Boston, MA · On-site +1

N322 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Connect/drive project-level impact ... Train and deploy new AI models. * Analyze model performance and identify improvements. * Research ...

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Remote Entry Level Ai Engineer information

See Boston, MA salary details

$32.6K

$75.4K

$128.2K

How much do remote entry level ai engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote entry level ai engineer in Boston, MA is $75,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,900.00 and $85,300.00 per year, depending on experience, location, and employer.

What is a remote entry level AI engineer?

A Remote Entry Level AI Engineer is a professional who works from a remote location to help develop, test, and implement artificial intelligence (AI) systems and models. They typically support more experienced engineers by writing code, analyzing data, and assisting with machine learning tasks. Entry level roles often require basic programming skills (such as Python), familiarity with AI frameworks, and a passion for learning new technologies. Working remotely allows for flexibility, but it also requires good communication and self-management skills. This role is ideal for recent graduates or those transitioning to AI engineering from related fields.

What are the key skills and qualifications needed to thrive as a remote entry level AI engineer?

To thrive as a Remote Entry Level AI Engineer, you need a solid understanding of programming languages (like Python), foundational knowledge of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with technical tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, effective communication, and self-motivation are essential soft skills for excelling in a remote setting. These skills ensure you can contribute meaningfully to AI projects, learn quickly in a rapidly evolving field, and collaborate efficiently with distributed teams.

What are the typical collaboration methods for remote entry level AI engineers working on distributed teams?

Remote entry-level AI engineers usually collaborate with team members through a mix of video conferencing, instant messaging, and shared project management tools. You'll often participate in daily stand-ups, code reviews, and brainstorming sessions using platforms like Slack, Zoom, or Microsoft Teams. Version control systems such as GitHub or GitLab are essential for coordinating code contributions. Building strong communication skills is important, as you'll need to clearly articulate ideas and ask questions despite not being physically present with your colleagues.

What are popular job titles related to Remote Entry Level Ai Engineer jobs in Boston, MA?

For Remote Entry Level Ai Engineer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Remote Entry Level Ai Engineer jobs in Boston, MA look for?

The top searched job categories for Remote Entry Level Ai Engineer jobs in Boston, MA are:

What cities near Boston, MA are hiring for Remote Entry Level Ai Engineer jobs?

Cities near Boston, MA with the most Remote Entry Level Ai Engineer job openings:

Remote Entry Level Ai Engineer jobs near you
Infographic showing various Remote Entry Level Ai Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $75,355 per year, or $36.2 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Lynn, MA • Remote

$90 - $120/hr

Part-time

Posted 17 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

Apply