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Experienced Full Stack Data Entry Specialist – Responsible AI and Machine Learning Research

100% Remote Full-time Open now

At arenaflex, we're committed to harnessing the power of artificial intelligence (AI) and machine learning to drive innovation and growth. As a key member of our interdisciplinary team, you'll play a vital role in shaping the future of responsible AI and machine learning research. We're seeking an experienced full stack data entry specialist to join our team and contribute to the development of cutting-edge solutions that prioritize fairness, transparency, and safety.

About arenaflex

arenaflex is a leading technology company that's dedicated to empowering individuals and organizations to achieve more. Our mission is to harness the potential of AI and machine learning to drive positive change and create a better world. We're passionate about innovation, collaboration, and pushing the boundaries of what's possible.

Job Overview

As an experienced full stack data entry specialist, you'll work closely with our team of experts to develop and implement solutions that address the complex challenges of responsible AI and machine learning. Your primary responsibilities will include:

  • Developing and maintaining focal assets and tooling for identifying, estimating, and mitigating potential damages caused by generative AI systems
  • Collaborating with Microsoft product groups to drive proactive approaches to responsible AI
  • Contributing to or driving research projects aimed at advancing the state-of-the-art in responsible AI
  • Working with an interdisciplinary team of experts, including applied researchers, linguists, and computer programmers, to tackle complex sociotechnical challenges
  • Developing and maintaining expertise in working with large-scale language models and multimodal models, with a strong focus on fairness, diversity, and inclusion

Key Responsibilities

* Develop and maintain focal assets and tooling for identifying, estimating, and mitigating potential damages caused by generative AI systems

  • Collaborate with Microsoft product groups to drive proactive approaches to responsible AI
  • Contribute to or drive research projects aimed at advancing the state-of-the-art in responsible AI
  • Work with an interdisciplinary team of experts to tackle complex sociotechnical challenges
  • Develop and maintain expertise in working with large-scale language models and multimodal models, with a strong focus on fairness, diversity, and inclusion
  • Screen research advances and apply them to shape your applied science work
  • Present your work to internal and external partners, including Microsoft administration

Essential Qualifications

* Bachelor's degree in Mathematics, Econometrics, Computer Science, Electrical Engineering, or related field, with 4+ years of related experience (e.g., predictive analytics, research)

  • OR Graduate degree in Mathematics, Econometrics, Computer Science, Electrical Engineering, or related field, with 3+ years of related experience (e.g., predictive analytics, research)
  • OR Doctorate in Mathematics, Econometrics, Computer Science, Electrical Engineering, or related field, with 1+ year(s) of related experience (e.g., predictive analytics, research)
  • OR comparable experience

Preferred Qualifications

* Graduate degree in Mathematics, Econometrics, Computer Science, Electrical Engineering, or related field, with 6+ years of related experience (e.g., predictive analytics, research)

  • OR Doctorate in Mathematics, Econometrics, Computer Science, Electrical Engineering, or related field, with 3+ years of related experience (e.g., predictive analytics, research)
  • OR identical experience
  • Experience working at the intersection of generative AI and responsible AI, trust, and security
  • Experience approaching fairness as a sociotechnical challenge rather than an algorithmic one
  • Experience working with products and services that incorporate generative AI
  • Experience working collaboratively in an interdisciplinary team across multiple roles
  • Experience working with partners with diverse technical and non-technical backgrounds
  • Ability to advance independently in new areas, including by reading academic papers
  • Ability to work independently and rapidly on complex and new codebases
  • Scholarly interest and strong passion for tackling real-world challenges

Work Environment and Company Culture

arenaflex is committed to creating a culture of inclusion and respect, where everyone can thrive and grow. Our team is passionate about innovation, collaboration, and pushing the boundaries of what's possible. We offer a dynamic and supportive work environment, with opportunities for professional growth and development.

Compensation and Benefits

arenaflex offers a competitive compensation package, including a salary of $30/hour. We also offer a range of benefits and perks, including:

  • Comprehensive health insurance
  • Retirement savings plan
  • Paid time off and holidays
  • Professional development opportunities
  • Collaborative and dynamic work environment

How to Apply

If you're passionate about responsible AI and machine learning, and you're looking for a challenging and rewarding role, we encourage you to apply. Please submit your application through our website, including your resume, cover letter, and any relevant samples or portfolios.

Submit Your Application

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