Data Entry Specialist – arenaflex AI Ethics & Reliability Team – NYC Remote – $30/Hour

About arenaflex – Pioneering Trustworthy AI at Scale

arenaflex is a global technology leader dedicated to empowering every person and every organization on the planet to achieve more. With a relentless focus on innovation, inclusion, and responsible artificial intelligence, arenaflex builds products and services that touch billions of lives every day. Our mission‑driven culture blends cutting‑edge research with real‑world impact, and we are looking for passionate professionals who want to shape the future of AI safety, fairness, and transparency.

Why This Role Matters

At arenaflex, the rapid evolution of generative AI—large language models (LLMs) like GPT‑4 and multimodal systems such as DALL‑E—presents unprecedented opportunities and equally profound responsibilities. The Data Entry Specialist you will become a cornerstone of our AI Ethics & Reliability team, helping to identify, measure, and mitigate potential harms that arise from these powerful models. Your work will directly influence how arenaflex designs safe, inclusive, and trustworthy AI experiences for users worldwide.

Role Overview

This position is fully remote for candidates located anywhere in the United States, with a particular focus on talent based in New York, NY, Cambridge, MA, or Redmond, WA. While relocation is not required, you will collaborate closely with interdisciplinary teams across multiple time zones, contributing to research, tooling, and policy initiatives that safeguard AI systems.

Key Responsibilities

• Develop Core Assets & Tooling: Design, implement, and maintain data pipelines, annotation frameworks, and evaluation dashboards that enable systematic detection of bias, toxicity, and other safety concerns in generative AI outputs.
• Collaborate with Product Teams: Partner with arenaflex product groups to embed responsible AI practices early in the development lifecycle, ensuring that reliability, fairness, and transparency are baked into every feature.
• Drive Research Projects: Contribute to or lead applied research initiatives that push the state‑of‑the‑art in AI risk assessment, including novel metrics for fairness, robustness, and content moderation.
• Interdisciplinary Teamwork: Work alongside applied researchers, ethicists, linguists, and software engineers to tackle complex sociotechnical challenges that extend beyond pure algorithmic solutions.
• Data Curation & Annotation: Curate high‑quality datasets, develop annotation guidelines, and oversee the labeling process to ensure consistency and reliability across diverse domains.
• Stakeholder Communication: Present findings and recommendations to internal and external partners, translating technical insights into actionable policy and product decisions.
• Continuous Learning: Stay abreast of the latest academic literature, industry standards, and regulatory developments related to AI ethics, safety, and governance.

Essential Qualifications

• Bachelor’s degree in Statistics, Econometrics, Computer Science, Electrical Engineering, or a related discipline, and at least 4 years of relevant experience (e.g., statistical analysis, research, data engineering).
• Alternatively, a Master’s degree in one of the above fields with a minimum of 3 years of experience, or a Ph.D. with at least 1 year of professional experience.
• Demonstrated experience applying responsible AI principles (fairness, transparency, accountability) in real‑world settings.
• Proficiency in at least one widely used programming language such as Python, Java, Scala, C#, or C/C++.
• Hands‑on experience with large‑scale language models and/or multimodal models, and a strong interest in addressing societal impacts of AI.
• Ability to work autonomously, navigate ambiguous problems, and rapidly iterate on new codebases.

Preferred Qualifications & Additional Skills

• Advanced degree (Master’s or Ph.D.) with 6+ years of experience in statistical research, AI safety, or related fields.
• Track record of publishing or contributing to research at the intersection of generative AI and trustworthy AI.
• Experience designing and implementing fairness‑aware metrics, bias mitigation techniques, or content moderation pipelines.
• Strong interdisciplinary collaboration skills, having worked with both technical and non‑technical stakeholders.
• Curiosity for academic literature and the ability to translate scholarly insights into practical engineering solutions.
• Excellent written and verbal communication skills, with the capacity to convey complex concepts to diverse audiences.

Core Skills & Competencies

• Analytical Rigor: Ability to design experiments, conduct statistical analyses, and interpret results with precision.
• Technical Acumen: Comfortable building data pipelines, writing clean code, and leveraging cloud platforms for large‑scale processing.
• Ethical Mindset: Deep commitment to AI ethics, with an understanding that fairness is a sociotechnical problem.
• Collaboration: Proven experience thriving in cross‑functional teams that blend research, engineering, product, and policy.
• Adaptability: Willingness to explore new domains, learn emerging technologies, and pivot quickly as priorities evolve.

Career Growth & Learning Opportunities

arenaflex invests heavily in the professional development of its employees. In this role, you will have access to:

• Mentorship from world‑class AI researchers and ethicists.
• Internal training programs on responsible AI, data governance, and advanced statistical methods.
• Opportunities to publish research papers, present at conferences, and influence industry standards.
• Clear career pathways toward senior research, product leadership, or AI policy advisory positions.

Compensation, Perks & Benefits

arenaflex offers a competitive compensation package that reflects the expertise you bring to the team. While exact figures vary by location and experience, you can expect:

• Base hourly rate of $30 / hour (or equivalent annualized salary).
• Performance‑based bonuses and equity awards.
• Comprehensive health, dental, and vision coverage.
• Generous paid time off, parental leave, and flexible work schedules.
• Professional development stipend, tuition reimbursement, and access to industry conferences.
• Well‑being resources, including mental‑health counseling, fitness programs, and employee assistance services.

Work Environment & Culture at arenaflex

Our culture is built on the arenaflex values of inclusion, integrity, and innovation. We strive to create an environment where every voice is heard, where diverse perspectives drive better outcomes, and where employees feel empowered to take bold risks. Whether you are working from a home office, a co‑working space, or a local arenaflex hub, you will be part of a supportive community that celebrates curiosity, collaboration, and continuous improvement.

How to Apply

If you are excited about shaping the future of trustworthy AI and meet the qualifications above, we encourage you to submit your application today. Join arenaflex’s mission‑driven team and help ensure that the next generation of AI systems are safe, fair, and beneficial for all.

Apply Now – Become a Part of arenaflex’s AI Ethics Revolution!