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From Home Ai Validation Jobs in Puerto Rico (NOW HIRING)

SoftwareOne

PR

... and validate solutions. * Design end-to-end Data & AI solutions leveraging Microsoft Azure ... What we need to see from you * Experience in PreSales, Technology Consulting, Solution Architecture ...

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From Home Ai Validation information

What is a from home AI validation?

A From Home AI Validation job involves working remotely to help test, review, and improve artificial intelligence systems. People in this role typically evaluate the accuracy and relevance of AI-generated content, such as search results, chatbot responses, or image recognition outputs. The feedback provided helps AI developers refine their algorithms. These positions often require attention to detail, strong analytical skills, and sometimes familiarity with specific languages or cultures. Most tasks are completed online, offering flexibility and the convenience of working from home.

What does a typical workday look like for a from home AI validation?

As a remote AI Validation specialist, your daily routine often involves reviewing and evaluating AI-generated outputs for accuracy and relevance according to detailed guidelines. You may be assigned specific data sets or tasks, such as labeling images, transcribing text, or rating chatbot responses. Communication is primarily handled through project management platforms or messaging tools, and you usually work independently while occasionally collaborating with team leads or other validators for feedback sessions or quality assurance checks. Flexibility in managing your own schedule is common, but meeting deadlines and maintaining consistent quality are key expectations in this role.

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

To thrive as a Work From Home AI Validator, you need strong attention to detail, analytical thinking, and proficiency in written and spoken language, often supported by a high school diploma or higher education. Familiarity with online annotation platforms, data labeling tools, and sometimes specific AI validation software is typically required. Excellent time management, strong communication, and self-motivation are important soft skills for remote collaboration and meeting deadlines. These skills ensure accurate data evaluation, effective remote teamwork, and high-quality contributions to AI system development.

What is the difference between From Home Ai Validation vs From Home Data Annotator?

AspectFrom Home Ai ValidationFrom Home Data Annotator
Required CredentialsBasic understanding of AI concepts, sometimes certifications in data labelingBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hours, often part-timeRemote, flexible hours, often part-time
Industry UsageAI development, machine learning projectsData preparation, machine learning training
Common Search IntentAI validation jobs, AI quality assuranceData annotation jobs, data labeling roles

From Home Ai Validation and From Home Data Annotator roles are both remote positions supporting AI development. Validation focuses on assessing AI outputs for accuracy, while Data Annotators prepare and label data for training models. Both require similar skills and often overlap in work environment and industry usage, but their core tasks differ in focus and purpose.

What are the most commonly searched types of Ai Validation jobs in Puerto Rico?

The most popular types of Ai Validation jobs in Puerto Rico are:

What are popular job titles related to From Home Ai Validation jobs in Puerto Rico?

For From Home Ai Validation jobs in Puerto Rico, the most frequently searched job titles are:

What job categories do people searching From Home Ai Validation jobs in Puerto Rico look for?

The top searched job categories for From Home Ai Validation jobs in Puerto Rico are:

What cities in Puerto Rico are hiring for From Home Ai Validation jobs?

Cities in Puerto Rico with the most From Home Ai Validation job openings:

From Home Ai Validation jobs near you

Junior/Intermediate Applied AI Specialist (Voice AI)

Dash BPO

San Juan, PR • On-site

$80 - $100/hr

Other

Posted 6 days ago

Key responsibilities

  • Own feature testing for Voice AI products by designing test cases, executing test plans, logging defects, verifying fixes, and running regression tests.

  • Configure, deploy, and support Voice AI solutions in customer environments, including pilots and production roll-outs.

  • Communicate technical concepts, findings, and progress clearly and professionally with customers.

Job description

Junior/Intermediate Applied AI Specialist (Voice AI)

San Juan, Puerto Rico

We are looking for a motivated Applied AI Specialist to join our growing Voice AI team. This role suits candidates who combine a solid grounding in software engineering fundamentals with strong testing discipline and a customer‑focused mindset. You will initially own feature testing and quality assurance for our Voice AI products, which are built with platforms such as ElevenLabs, Twilio, and Amazon Connect, and grow into a Forward Deployed Engineer (FDE) role, configuring, deploying, and iterating on AI solutions directly with customers. Clear, confident communication is central to this role, as you will regularly engage with customers and be expected to articulate technical concepts in a simple and professional manner. You will work under the guidance of senior team members and gain hands‑on experience across the full lifecycle of applied AI products, from development through to production.

Key Responsibilities
  • Own feature testing for Voice AI products: design test cases, execute test plans, log defects, verify fixes, and run regression testing ahead of releases.
  • Apply established testing practices such as test‑driven development (TDD), property‑based testing, and unit, integration, end‑to‑end, and user acceptance testing.
  • Validate features across deployment environments (development, staging, and production) and support the controlled promotion of releases from one environment to the next.
  • Act as a Forward Deployed Engineer: configure, deploy, and support Voice AI solutions in customer environments, including pilots and production roll‑outs.
  • Communicate and articulate clearly with customers: explain technical concepts, findings, and progress in a simple, confident, and professional manner.
  • Reproduce, triage, and clearly document issues, and collaborate with engineers to resolve them.
  • Track and manage work using project management tools such as Jira and Linear, including tickets, sprints, backlogs, and bug tracking.
  • Gather feedback from customers and internal stakeholders and translate it into clear, actionable tickets and requirements.
  • Evaluate the quality of AI models using appropriate evaluations, and make sound judgments on trade‑offs between latency, classification metrics (accuracy, precision, recall, and F1), and cost.
  • Stay current with developments in AI and Voice AI, and proactively bring new tools, techniques, and ideas to the team.
  • Document test results, workflows, configurations, and findings clearly and comprehensively.
Projects
  • Voice AI agents and conversational automation.
  • Audio recording, transcription, and conversation analytics features.
  • Customer‑facing AI deployments, integrations, and automation initiatives.
Requirements Experience
  • Hands‑on experience building or configuring solutions with Voice AI platforms such as ElevenLabs, Twilio, or Amazon Connect, or familiarity with telephony concepts (e.g., SIP, WebRTC, IVR flows).
  • Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
  • Experience with API testing tools (e.g., Postman) or automated testing frameworks (e.g., pytest, Jest, Playwright).
  • Understanding of CI/CD pipelines and release management processes.
  • Prior experience in a customer‑facing, QA, support, or implementation role.
  • Awareness of prompt engineering and the evaluation of LLM outputs.
  • Qualification in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field (or equivalent practical experience).
  • A strong understanding of version control with Git, including branching, merging, and pull request workflows.
  • Solid understanding of core software engineering principles, including the purpose of separate deployment environments (development, staging, production) and how changes are promoted between them.
  • Working knowledge of software testing methodologies, including TDD, property‑based testing, and common approaches such as unit, integration, regression, end‑to‑end, and exploratory testing.
  • Proficiency in feature testing: test case design, structured execution, defect reporting, and verification.
  • Awareness of Voice AI technologies and platforms, such as ElevenLabs, Twilio, and Amazon Connect, and of core concepts like speech‑to‑text (ASR), text‑to‑speech (TTS), and voice agents.
  • Good understanding of model evaluation, including classification metrics such as accuracy, precision, recall, and F1, and the ability to reason about trade‑offs between quality, latency, and cost.
  • Familiarity with project management and issue‑tracking tools such as Jira and Linear.
  • Able to work effectively with AI‑assisted development tools such as Claude Code and Codex.
  • Strong analytical and problem‑solving skills, with high attention to detail.

Excellent verbal and written communication skills, with the ability to articulate technical concepts to customers clearly, confidently, and professionally.

Benefits & Growth
  • Competitive salary and benefits.
  • Hands‑on experience with real‑world Voice AI products and customer deployments.
  • Mentorship and a clear growth path toward a full Forward Deployed / Applied AI Engineer role.
  • A collaborative and supportive work culture.
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