Remote Pod Lead

Turing is a rapidly growing AI company focused on accelerating the development and deployment of advanced AI systems. The company collaborates with leading AI labs to push the boundaries of model capabilities in areas such as reasoning, coding, multimodality, multilinguality, and STEM knowledge. These innovations are then applied to create real-world AI solutions that address critical business challenges. This role involves leading a small team of annotators, managing their daily performance, clarifying guidelines, and ensuring the timely delivery of high-quality work in a dynamic environment.

Key Responsibilities:
- Manage daily activities within the annotator pod and provide support as needed.
- Resolve questions related to guidelines and address recurring issues promptly.
- Conduct weekly team meetings to share project updates and maintain clear communication.
- Onboard new annotators and assist them during their initial tasks to ensure smooth integration.
- Monitor pod performance closely and identify any recurring quality concerns.
- Coordinate retraining sessions and verify annotators’ readiness to resume tasks.
- Report progress, challenges, and support needs regularly to the Team Lead.

Required Qualifications:
- 2 to 4 years of relevant professional experience.
- Proven experience in leading, mentoring, or coordinating team members.
- Strong attention to detail with the ability to follow complex instructions accurately.
- Effective communication skills with a supportive and problem-solving approach.
- Experience in annotation, data labeling, or AI training data is preferred but not mandatory.

Preferred Qualifications and Benefits:
Working with Turing offers the opportunity to be at the forefront of AI applications, particularly in accounting and finance domains. The role is fully remote, providing a flexible work environment that supports work-life balance. Collaborating on impactful projects with a global reach allows for professional growth and exposure to cutting-edge AI technologies.

This is a project-based position involving a set number of evaluation tasks. Each task requires comparing multiple chatbots and delivering a final assessment. The work schedule includes five working days per week, which may include weekends, with two weekdays off. Working hours are from 7 am to 4 pm PST, and the engagement duration is 16 weeks.