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From Home Ai Computer Science Jobs (NOW HIRING)

Atomic Machines

Generative AI CAD Engineer

Emeryville, CA · On-site

$210K - $260K/yr

This position is onsite in our Emeryville, CA office, with openness to an occasional work-from-home ... Experience with NURBS and B-Rep. * Bachelor's, Master's, or PhD degree in Computer Science, Machine ...

Atomic Machines

Generative AI CAD Engineer

Emeryville, CA · On-site +1

This position is onsite in our Emeryville, CA office, with openness to an occasional work-from-home ... Experience with NURBS and B-Rep. * Bachelor's, Master's, or PhD degree in Computer Science, Machine ...

Pano

AI/Computer Vision Engineer

San Francisco, CA · On-site +1

$141K - $184K/yr

Backed by $89 million in funding from leading investors including Giant Ventures, Liberty Mutual ... What you'll bring Required * BS or MS in Computer Science, Electrical Engineering, Robotics, or a ...

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$111.3K

$137.5K

How much do from home ai computer science jobs pay per year?

As of Sep 10, 2026, the average yearly pay for from home ai computer science in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What is a from home AI computer science job?

A 'From Home AI Computer Science' job typically involves working remotely in the field of artificial intelligence (AI) and computer science. Responsibilities can include developing algorithms, building machine learning models, analyzing data, and creating AI-powered software or applications. These roles are highly technical and often require expertise in programming languages such as Python, as well as knowledge of AI frameworks and tools. Remote AI computer science jobs offer flexibility in work location and hours, making them attractive to those seeking work-life balance. Employers may range from tech startups to large corporations focusing on AI-driven products and services.

What are the key skills and qualifications needed to thrive as a from home AI computer scientist?

To thrive as a Remote AI Computer Scientist, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree or equivalent experience. Proficiency in programming languages such as Python, familiarity with frameworks like TensorFlow or PyTorch, and experience using cloud platforms are commonly required. Strong problem-solving abilities, self-motivation, and effective communication skills distinguish top performers in remote environments. These skills and qualities are essential for developing innovative AI solutions, collaborating across distributed teams, and ensuring project success from a remote setting.

How does working from home as an AI computer science professional impact collaboration and project management?

Remote AI Computer Science roles typically rely on digital collaboration tools such as Slack, Zoom, and project management platforms like Jira or Trello. While remote work offers flexibility, it also requires proactive communication and clear documentation to keep teams aligned. Regular virtual meetings, code reviews, and collaborative repositories are common practices to ensure team members stay connected and projects progress smoothly. Building strong digital communication habits is essential for success in this environment.

What is the difference between From Home Ai Computer Science vs Data Analyst?

AspectFrom Home Ai Computer ScienceData Analyst
Required CredentialsBachelor's in Computer Science, AI, or related fields; certifications in AI/MLBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentRemote, tech-focused, collaborative teamsRemote or on-site, business or research settings
Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, consulting
Common Search/ComparisonFrom Home Ai Computer Science vs Data Analyst

From Home Ai Computer Science focuses on developing AI models, algorithms, and software solutions, often requiring programming and machine learning expertise. Data Analysts interpret data to provide insights, typically using statistical tools and visualization. While both roles involve working with data, AI Computer Science emphasizes creating intelligent systems, whereas Data Analysts focus on analyzing and reporting data to inform decisions.

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Infographic showing various From Home Ai Computer Science job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 73% Full Time, 22% Part Time, and 3% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

AI Computer Scientist, ZP-1550-III/IV

Gaithersburg, MD • On-site

Sensor Science Division | NIST
See more jobs at Sensor Science Division | NISTexternal

$85K/yr

Full-time

Posted 2 days ago

New

Job description

NIST is seeking an AI Technical Expert to conduct original research and advance measurement science. This position will drive the NIST's AI mission by addressing critical standards challenges. Key responsibilities include designing, developing, and testing novel AI-driven tools, test software, methodologies, and benchmarks.
This notice is issued under direct-hire authority to recruit new talent to occupations for which NIST has a severe shortage of candidates.

Qualifications:Basic Requirements:
Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and coursework must be from accredited or pre-accredited institutions.
In addition to the above basic requirements, applicants must have one year (52 weeks) of specialized experience at the GS-12 level (ZP-III at NIST). The specialized experience is defined as:
  • Experience with computer programming and tool development to solve key Artificial Intelligence (AI) measurement science challenges.
  • Experience with core AI technical skills such as machine learning and deep learning
  • Experience with statistical data analysis and experimental design
OR
3 years of progressively higher-level graduate education leading to a Ph.D. degree
OR
Ph.D. or equivalent doctoral degree
OR
A combination of education and experience
For ZP-IV:
In addition to the above basic requirements, applicants must have one year (52 weeks) of specialized experience at the GS-14 level (ZP-IV at NIST). The specialized experience is defined as:
  • Experience in leading computer programming and tool development efforts to solve key Artificial Intelligence (AI) measurement science challenges.
  • Experience in providing technical leadership for AI experts in areas involving core AI technical skills such as machine learning and deep learning
  • Experience in leading and implementing projects involving statistical data analysis and experimental design

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills, and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
The qualification requirements in this vacancy announcement are based on the U.S. Office of Personnel Management (OPM) Qualification Standards Handbook.
If requesting reconsideration of your qualification determination, please refer to the following site: Applicant ReconsiderationEducation:This position has an education requirement. Transcripts must be submitted to validate that the education requirement has been met. Unofficial transcripts will be accepted in the application package. However, an official copy will be required before a final offer of employment.
Use of foreign education for qualifications. An accredited organization must evaluate education completed outside of the U.S. to ensure that it is comparable to education received in accredited institutions in the U.S. Click here to view a listing of accredited organizations from the Department of Education's website. A copy of the foreign education evaluation (containing the results with a course-by-course listing) is required with your application.Employment Type: OTHER

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