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Contextual Ai Jobs (NOW HIRING)

FastTek

Senior Cloud Database Engineer

Dearborn, MI · On-site

$97K - $132K/yr

Contextual AI Patterns: Define patterns for integrating Model Context Protocol (MCP) with databases for contextual AI interactions. * Intelligent Automation: Identify and implement AI-driven ...

Interon IT Solutions

ServiceNow AI Developer

Chantilly, VA · Remote

$55.25 - $76/hr

... contextual AI interactions. • Implement multi-model and multi-agent orchestration frameworks. • Configure and optimize Now Assist, Predictive Intelligence, and Virtual Agent capabilities. • ...

OSI Engineering, Inc.

Senior AI Engineer

Cupertino, CA · On-site

$58 - $68/hr

You will design and develop custom AI workflows using TypeScript, build RAG and semantic search solutions, and integrate contextual AI capabilities into enterprise tooling. You'll work closely with ...

Reevo

Builder - AI Engineer

Santa Clara, CA · On-site

Responsibilities : • Design and implement RAG (Retrieval-Augmented Generation) systems for contextual AI responses • Build evaluation platforms and frameworks for measuring AI system performance ...

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Contextual Ai information

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$31K

$97.1K

$172K

How much do contextual ai jobs pay per year?

As of Jul 27, 2026, the average yearly pay for contextual ai in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

How do professionals working in Contextual AI typically collaborate with cross-functional teams to deploy effective AI solutions?

Professionals in Contextual AI often work closely with data scientists, software engineers, product managers, and domain experts to develop and deploy AI models that understand and adapt to context-specific information. Collaboration commonly involves regular meetings to define project goals, align on data requirements, and iterate on model outputs based on feedback from stakeholders. Effective communication is crucial, as team members must translate complex AI concepts into actionable insights for non-technical colleagues. This multidisciplinary teamwork ensures that AI solutions are not only technically robust but also meet real-world user needs and business objectives.

What are Contextual AI specialists?

Contextual AI specialists are professionals who design, develop, and implement artificial intelligence systems that understand and adapt to the context in which they operate. Their work involves creating models that can interpret data based on situational factors, user behavior, and environmental variables to provide more accurate and relevant outcomes. These specialists often collaborate with data scientists, software engineers, and domain experts to build AI solutions that deliver personalized user experiences and make informed decisions. Contextual AI is increasingly used in areas like natural language processing, recommendation systems, and smart assistants.

What is the difference between Contextual Ai vs Data Analyst?

AspectContextual AiData Analyst
Required CredentialsBackground in AI, machine learning, data science, programmingDegree in statistics, mathematics, or related field; analytical skills
Work EnvironmentTech companies, AI development teams, research labsBusiness, finance, marketing departments, consulting firms
Industry UsageDeveloping AI models that understand context for automation and decision-makingInterpreting data, generating reports, providing insights for business strategies

Contextual Ai focuses on creating AI systems that understand and interpret context to improve automation and decision-making, often requiring advanced technical skills. Data Analysts analyze data to extract insights, supporting business decisions. While both roles work with data, Contextual Ai is more technical and development-oriented, whereas Data Analysts focus on data interpretation and reporting.

What are the key skills and qualifications needed to thrive as a Contextual AI Specialist, and why are they important?

To thrive as a Contextual AI Specialist, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree. Proficiency with AI development frameworks (like TensorFlow or PyTorch), data annotation tools, and experience with large language models are typically required. Critical thinking, problem-solving, and effective cross-functional communication help you interpret complex data and collaborate with stakeholders. These skills are essential to develop AI systems that understand and respond accurately to user context, ensuring relevance and reliability in real-world applications.
More about Contextual Ai jobs
What cities are hiring for Contextual Ai jobs? Cities with the most Contextual Ai job openings:
What states have the most Contextual Ai jobs? States with the most job openings for Contextual Ai jobs include:
What job categories do people searching Contextual Ai jobs look for? The top searched job categories for Contextual Ai jobs are:
Contextual Ai jobs near you
Infographic showing various Contextual Ai job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.
Research Scientist Intern, Embedded Contextual AI on Wearables (PhD)

Research Scientist Intern, Embedded Contextual AI on Wearables (PhD)

Meta

Redmond, WA

$7.3K - $12K/mo

Full-time, Internship

Posted 13 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 245 rated software companies

Job description

At Reality Labs, our team brings novel experiences to life on Meta’s AR devices. We are seeking upcoming scientists and researchers with great interest in real-time embedded software development and hardware acceleration to enable on-device contextual AI within the performance, power and form-factor constraints of AR glasses.Within the vast domain of contextual AI, we are currently focusing on three key areas: computer vision, audio interaction, and large language models. As a Research Scientist intern, you will help us advance the state-of-the-art in one or more of these areas.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Embedded Contextual AI on Wearables (PhD) Responsibilities:
  • Build and characterize experimental HW+SW systems on AR devices and device prototypes
  • Develop embedded firmware and software in RTOS and mobile operating systems, e.g. AOSP
  • Collaborate with other researchers and engineers across various disciplines

Minimum Qualifications:
  • Currently has, or is in the process of obtaining a PhD in Computer Science, Electrical Engineering, or a related field
  • Programming and simulation experience with languages such as C/C++ and Python
  • Experience with computer architecture and HW/SW co-design and co-optimization
  • Must obtain work authorization in the country of employment at the time of hire, and maintain on-going work authorization during employment

Preferred Qualifications:
  • Experience in HW+SW system prototyping using embedded device prototypes and FPGAs
  • Experience in operating systems, drivers, and embedded firmware development
  • Experience working in a machine learning framework, e.g. PyTorch
  • Experience working and communicating cross functionally in a team environment
  • Demonstrated embedded software experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Intent to return to degree-program after the completion of the internship/co-op
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV, SIGGRAPH, or similar

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,313/month to $12,134/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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