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Work From Home Remote User Testing information

What is the difference between Work From Home Remote User Testing vs Remote Quality Assurance Tester?

AspectWork From Home Remote User TestingRemote Quality Assurance Tester
CredentialsBasic computer skills, sometimes a testing platform accountKnowledge of testing tools, sometimes certifications in QA
Work EnvironmentHome-based, flexible scheduleHome-based, often structured testing schedules
Industry UsageMarket research, product feedbackSoftware development, app testing
Search & Comparison IntentUnderstanding testing roles, gig opportunitiesTechnical skills, career in QA

Work From Home Remote User Testing involves providing feedback on websites or apps for market research, requiring basic skills. Remote Quality Assurance Testers focus on identifying bugs in software, often needing technical knowledge. Both roles are home-based and flexible but serve different purposes within the tech industry.

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What job categories do people searching Work From Home Remote User Testing jobs in California look for? The top searched job categories for Work From Home Remote User Testing jobs in California are:
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Work From Home Remote User Testing jobs near you

Applied AI Engineer, Work From Home

Parallel Partners

San Francisco, CA • Remote

Full-time

Medical, Dental, Vision, PTO

Posted 11 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!


Additional Information

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