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Remote Computer Science Artificial Intelligence Jobs in Massachusetts

... language processing, computer vision, reinforcement learning, search algorithms, knowledge ... science, and technology innovation careers. * Conceptual Teaching & Problem-Solving: Skilled at ...

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

College Computer Science Tutor

Lynn, MA ยท Remote

$18 - $40/hr

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

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Remote Computer Science Artificial Intelligence information

What is the difference between Remote Computer Science Artificial Intelligence vs Remote Data Science?

AspectRemote Computer Science Artificial IntelligenceRemote Data Science
Required CredentialsBachelor's or higher in Computer Science, AI certificationsBachelor's or higher in Data Science, Statistics, or related fields
Work EnvironmentSoftware development, AI model training, algorithm designData analysis, visualization, statistical modeling
Employer & Industry UsageTech companies, research labs, AI startupsFinance, healthcare, e-commerce, tech firms
Common Search & ComparisonYesNo

Remote Computer Science Artificial Intelligence roles focus on developing AI algorithms, machine learning models, and software solutions. In contrast, Remote Data Science involves analyzing data, creating visualizations, and deriving insights. While both fields require strong technical skills and often similar educational backgrounds, their core responsibilities differ, making each suitable for different career interests within the tech industry.

What are the key skills and qualifications needed to thrive as a remote computer science artificial intelligence professional, and why are they important?

To thrive as a Remote Computer Science Artificial Intelligence professional, you need a strong background in computer science fundamentals, mathematics, machine learning, and programming languages such as Python, often supported by a relevant degree. Familiarity with AI frameworks (like TensorFlow or PyTorch), cloud platforms, and version control systems is typically required, along with certifications in AI or data science. Excellent problem-solving, self-motivation, and effective remote communication skills help you stand out in distributed teams. These skills and qualities are crucial for developing robust AI solutions, collaborating virtually, and adapting to fast-evolving technologies.

What is a remote computer science artificial intelligence professional?

Remote Computer Science Artificial Intelligence (AI) jobs involve working from a location outside of a traditional office to design, develop, and implement AI systems and algorithms. Professionals in this field use programming, data analysis, and machine learning techniques to solve complex problems in areas such as natural language processing, computer vision, and robotics. These roles often require strong knowledge of mathematics, statistics, and programming languages like Python or Java. Remote AI jobs offer flexibility and the opportunity to collaborate with global teams using digital communication tools.

How do remote computer science artificial intelligence professionals typically collaborate with team members across different time zones?

Remote AI professionals often work with global teams, requiring strong communication and collaboration skills. Teams frequently use project management tools, shared code repositories, and regular video meetings to stay aligned on goals and progress. Flexibility with meeting times and thorough documentation are essential for ensuring smooth collaboration. Building rapport through virtual channels and actively participating in discussions helps foster a sense of teamwork despite physical distance.

What are popular job titles related to Remote Computer Science Artificial Intelligence jobs in Massachusetts?

For Remote Computer Science Artificial Intelligence jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Remote Computer Science Artificial Intelligence jobs in Massachusetts look for?

The top searched job categories for Remote Computer Science Artificial Intelligence jobs in Massachusetts are:

What cities in Massachusetts are hiring for Remote Computer Science Artificial Intelligence jobs?

Cities in Massachusetts with the most Remote Computer Science Artificial Intelligence job openings:

Artificial Intelligence Associate Attorney

Direct Counsel

Boston, MA โ€ข On-site, Remote

$235K - $310K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 2 days ago

New


Job description

Associate Attorney – Artificial Intelligence

Direct Counsel is seeking an Associate Attorney to join a leading AmLaw 100 law firm’s rapidly growing Artificial Intelligence practice. This is a highly substantive, client-facing opportunity for an attorney with 2–4 years of experience who is interested in working at the intersection of artificial intelligence, emerging technology, regulation, litigation, and corporate transactions.

The ideal candidate will have experience in regulatory/advisory, corporate transactional, or litigation matters and be interested in developing a practice focused on cutting-edge AI issues. Candidates with either a litigation or corporate background are encouraged to apply, provided they are open to working across corporate, regulatory, and litigation matters.

Locations

Atlanta, GA; Austin, TX; Baltimore, MD; Boston, MA; Chicago, IL; Dallas, TX; Houston, TX; Los Angeles, CA; Miami, FL; Minneapolis, MN; New York, NY; Palo Alto, CA; Philadelphia, PA; Phoenix, AZ; Reston, VA; San Diego, CA; San Francisco, CA; Seattle, WA; Short Hills, NJ; Washington, DC; Wilmington, DE

Responsibilities
  • Advise clients on AI governance, regulatory compliance, and risk, including emerging AI transparency, disclosure, and regulatory requirements.

  • Monitor developments in AI law and regulation and translate emerging requirements into practical, client-ready guidance.

  • Support AI-related corporate and technology transactions, including due diligence, drafting and negotiating agreements, and identifying and mitigating AI-specific risks.

  • Develop subject matter expertise in AI issues within the corporate transactional context and serve as a resource to deal teams across the firm.

  • Conduct legal research and draft briefs, motions, memoranda, correspondence, and other high-quality legal work product in support of litigation and regulatory matters.

  • Support fact development, discovery, depositions, and case strategy in litigation and regulatory investigations.

  • Work collaboratively with attorneys across AI, corporate, litigation, and regulatory practices.

  • Build and maintain strong client relationships through effective communication and practical legal advice.

  • Stay current on emerging developments in artificial intelligence, technology, and related legal and regulatory frameworks.

Qualifications
  • J.D. from an accredited law school with strong academic credentials, preferably from a nationally recognized law school.

  • 2–4 years of relevant legal experience, preferably gained at an AmLaw 100 or other top-tier law firm.

  • Experience in one or more of the following areas: regulatory/advisory, corporate transactional, technology transactions, litigation, or regulatory matters.

  • Willingness and ability to work on a mix of corporate and litigation/regulatory matters.

  • Excellent legal research, writing, analytical, and problem-solving skills.

  • Strong judgment and attention to detail.

  • Excellent written and verbal communication skills.

  • Ability to produce polished, high-quality work product under tight deadlines.

  • Strong organizational skills and the ability to manage competing priorities.

  • Ability to work effectively both independently and collaboratively.

  • Admission, or eligibility for admission, in the relevant jurisdiction.

Preferred Qualifications
  • Genuine interest in artificial intelligence and emerging technology.

  • Prior experience advising on AI-related legal or regulatory issues.

  • Experience with technology transactions or AI-related corporate matters.

  • Experience with regulatory investigations or litigation involving emerging technologies.

Compensation & Benefits

The anticipated salary range for this position is $235,000–$310,000 per year, depending on experience, skills, educational and professional background, and overall qualifications. The firm offers a comprehensive benefits package, including medical, dental, vision, and 401(k) benefits.

Work Arrangement

This position offers a hybrid work arrangement combining remote and in-office work, with the specific arrangement determined at the time of hiring.