Xperteez Technology Logo

Xperteez Technology

🌎 AI Data Science Domain Expert - Remote, Contract

Reposted 16 Days Ago
Remote
Hiring Remotely in United States
Mid level
Remote
Hiring Remotely in United States
Mid level
Reviews and refines AI-generated content and data outputs, develops prompts, evaluates model performance using rubrics, conducts independent research and fact-checking, annotates data, and summarizes complex findings in technical reports. Works asynchronously with project leads and domain experts to improve AI output quality and analytical standards.
The summary above was generated by AI

Role Title: AI Data Science Domain Expert

Role Type: Contract (Part Time)

Location: Remote

Required Skills

  • Critical thinking

  • Analytical reasoning

  • Attention to detail

  • Quality assurance

  • Written communication

  • Technica documentation

  • Prompt authoring & refinement

  • AI Output Evaluation

  • Professional Writing

  • Report Writing

  • Business Communication

  • Problem Solving

  • Content Review

  • Data Interpretation

  • Logical Resoning

  • Professional Editing

  • Independent Research

  • Data Annotation

  • Rubric-Based Evaluation

  • Content Evaluation

  • AI Model Evaluation

  • Fact Checking

  • RLHF

  • Technical Editing

  • Prompt Engineering

Scope of Work

  1. Review, edit, and refine AI-generated content and data outputs for accuracy, clarity, and relevance based on domain knowledge and project-specific rubrics.

  2. Develop and optimize prompts to steer AI models towards desired outputs, leveraging professional writing and technical documentation skills.

  3. Conduct rubric-based evaluation of AI model performance, providing structured feedback and suggestions for improvement.

  4. Perform independent research to validate facts, enhance data quality, and support robust content evaluation processes.

  5. Contribute to quality assurance efforts by annotating data, fact-checking outputs, and ensuring adherence to analytic standards.

  6. Interpret and summarize complex datasets or findings into clear, actionable reports and technical summaries.

  7. Collaborate asynchronously with project leads and other domain experts to share insights and best practices.

Preferred Qualifications

  • 3+ years of professional experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

  • Proven track record of producing or reviewing research papers, analytical reports, experiment summaries, notebooks, or technical documentation.

  • Exceptional analytical reasoning, critical thinking, and attention to detail in written and quantitative deliverables.

  • Advanced proficiency in professional writing, report writing, and business or technical communication.

  • Experience with data annotation, content review, or rubric-based evaluation is highly desirable.

  • Background in prompt engineering, AI output evaluation, fact checking, or RLHF (Reinforcement Learning from Human Feedback) is advantageous but not required.

  • Master's, JD, MBA, PhD, or other advanced degree preferred; contributors from highly selective universities, leading technology companies, or research organizations are strongly encouraged to express interest.

Similar Jobs

An Hour Ago
Remote or Hybrid
Santa Clara, CA, USA
220K-397K Annually
Senior level
220K-397K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads pricing operations transformation, including launching new commercial models, translating pricing and product strategies into system requirements, and coordinating cross-functional implementation. Oversees product setup, quoting, billing, entitlements, usage tracking, governance, enablement, and productivity improvements. The role manages project plans, partners with IT and business teams, leads process and system transformation initiatives, and develops high-performing teams supporting SaaS commercial operations.
Top Skills: AISaaS
2 Hours Ago
Remote or Hybrid
US
135K-210K Annually
Senior level
135K-210K Annually
Senior level
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Lead product vision, strategy, adoption, roadmap prioritization, user research, metrics, and cross-functional execution for an AI-powered B2B insurance submissions platform. Partner across design, engineering, marketing, customer experience, and operations; manage integrations with adjacent products; resolve dependencies; communicate strategy and outcomes to senior leadership; and mentor other product managers.
Top Skills: AgileAIApplied EpicConfluenceJIRA
3 Hours Ago
Remote or Hybrid
264K-500K Annually
Senior level
264K-500K Annually
Senior level
Cloud • Software
Own strategic enterprise accounts across New England for ThousandEyes, driving new-logo acquisition and customer expansion. Build executive relationships, independently generate pipeline, leverage Cisco’s sales ecosystem, and lead complex enterprise sales cycles through technical evaluation, negotiation, and close. Manage six- and seven-figure transactions, develop strategic account plans, expand customers into $1M+ ARR relationships, and maintain quota attainment, pipeline coverage, and forecast accuracy.
Top Skills: Cisco ThousandeyesCloud NetworkingCybersecurityEnterprise Technology SolutionsObservabilitySaaS

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account