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How much do from home unidata programmer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for from home unidata programmer in the United States is $39.54, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $51.44 per hour, depending on experience, location, and employer.

What is a from home Unidata programmer?

A From Home Unidata Programmer is a software developer who specializes in programming with the UniData database system, typically working remotely. UniData is a multi-dimensional database often used in business applications for industries like finance, retail, and healthcare. These programmers design, develop, and maintain software solutions that interact with UniData databases, ensuring smooth data management and integration with other systems. Working from home, they use collaboration tools to communicate with teams, manage tasks, and deliver updates efficiently.

What are the key skills and qualifications needed to thrive as a from home Unidata programmer?

To thrive as a From Home Unidata Programmer, you need strong proficiency in Unidata/Pick database programming, experience with MultiValue environments, and typically a degree in computer science or a related field. Familiarity with tools such as Rocket UniVerse/UniData, basic scripting languages, and source control systems like Git is important. Excellent problem-solving skills, self-motivation, and effective remote communication abilities are crucial soft skills for this role. These competencies ensure high-quality development, smooth remote collaboration, and timely project delivery in a specialized database environment.

What are some common challenges faced by remote Unidata programmers, and how can they be addressed?

Remote Unidata Programmers often encounter challenges related to communication and collaboration, as they work with teams and clients in different locations. Staying aligned on project requirements and troubleshooting issues without face-to-face interaction can be difficult. To address these challenges, it's important to leverage collaboration tools, participate in regular virtual meetings, and maintain clear documentation of code and processes. Building a strong routine for self-management and proactively reaching out to colleagues for support also helps ensure productivity and project success.

What is the difference between From Home Unidata Programmer vs From Home Data Analyst?

AspectFrom Home Unidata ProgrammerFrom Home Data Analyst
Required CredentialsBachelor's in Computer Science or related field, programming certificationsBachelor's in Statistics, Data Science, or related field, analytical skills certifications
Work EnvironmentRemote, primarily focused on coding and software developmentRemote, focused on data interpretation and reporting
Employer & Industry UsageTech companies, software firms, financial institutionsMarket research firms, healthcare, finance, and retail sectors

From Home Unidata Programmers primarily develop and maintain data systems using programming skills, while From Home Data Analysts interpret data to provide insights. Both roles are remote and require relevant educational backgrounds, but they focus on different aspects of data work.

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From Home Unidata Programmer jobs near you
Infographic showing various From Home Unidata Programmer job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $82,234 per year, or $39.5 per hour.

Applied AI Engineer, Work From Home

Parallel Partners

San Francisco, CA • Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 17 days ago

Job description

Job Description

Applied AI Engineer, Work From Home

We are looking for an Applied AI Engineer to design, build, and optimize AI-powered features that sit directly inside our product workflows.  The Applied AI Engineer role focuses on turning model capabilities into real product behavior, where AI interacts with users, supports decision-making, and powers automation across insurance journeys.  This is a fully remote role where you will be part of a global engineering team working across multiple countries to build reliable, scalable AI-powered systems.  We have multiple openings for this position.  This position is 100% Remote.

Applied AI Engineer Responsibilities:

- Build AI-powered product features integrated into real insurance workflows.

- Design and optimize LLM-based interactions across customer and internal systems.

- Develop prompts, reasoning flows, and structured AI outputs for production use cases.

- Evaluate model performance using real-world data, feedback loops, and experiments.

- Improve reliability of AI outputs through guardrails, fallback logic, and validation layers.

- Work closely with backend engineers to integrate AI capabilities into APIs and workflows.

- Design and implement AI-driven automation features (chat, recommendations, decision support).

- Analyze user behavior and model responses to continuously improve AI performance.

- Collaborate with product, design, and engineering teams to ship end-to-end AI features.

- Contribute to AI system design decisions focused on usability and real-world impact.

Applied AI Engineer Outcomes

- AI features are reliable, consistent, and production-ready across workflows.

- User-facing AI interactions are intuitive and improve task completion rates.

- Model outputs are measurable, testable, and continuously improving.

- AI-driven automation reduces manual work in insurance processes.

- Product teams can safely deploy AI features with controlled behavior.

Qualifications

Applied AI Engineer Qualifications:

- Strong software engineering background in production environments.

- Experience working with LLMs (OpenAI, Anthropic, or open-source models).

- Familiarity with prompt engineering, structured outputs, and tool use patterns.

- Experience building or integrating AI features into real products.

- Strong understanding of API-based system integration.

- Ability to evaluate AI outputs critically using data and user feedback.

- Experience with experimentation, A/B testing, or evaluation frameworks.

- Strong product sense and focus on user experience.

- Comfortable working in fast-paced, globally distributed teams.

- Tech Stack:  A/B Testing, AI, Artificial Intelligence, Anthropic, Evaluation Frameworks, LLM APIs, Node.js, NoSQL, OpenAI, Open-Source Models, Pinecone, Prompt Engineering Frameworks, Python, REST APIs, SQL, Vector Databases, and Weaviate.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, Applied AI Engineer, A/B Testing, AI, Artificial Intelligence, Anthropic, Evaluation Frameworks, LLM APIs, Node.js, NoSQL, OpenAI, Open-Source Models, Pinecone, Prompt Engineering Frameworks, Python, REST APIs, SQL, Vector Databases, Weaviate, Software Engineer, Software Developer, Programming, Programmer Analyst, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire an Applied AI Engineer in San Francisco, CA or in other cities?  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire Applied AI Engineers for jobs in San Francisco, California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!


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