Data Operations Analyst (AI)

TL;DR

Data Operations Analyst (AI): Managing and auditing training and testing datasets on the Hive Data platform with an accent on operational excellence, metrics, and deliverables. Focus on collaborating with Product and ML teams to optimize data pipelines and enhance model performance.

Location: On-site in San Francisco

Salary: $60,000 - $85,000

Company

Hive is a leading provider of cloud-based AI solutions for content understanding, search, and generation, serving hundreds of innovative organizations globally.

What you will do

• Create, set up, and audit projects on the Hive Data platform to support internal Product and ML initiatives.
• Execute projects by identifying ways to advance model performance and product capabilities.
• Manage project timelines, identify challenges, and proactively resolve issues to ensure smooth delivery.
• Collaborate with Product and ML teams to define scope, technical requirements, and success criteria.
• Work with engineers to establish optimal data pipelines and efficient auditing processes.
• Adhere to security policies and guidelines regarding the protection of information assets.

Requirements

• Bachelor's degree.
• 0-2 years of relevant work experience.
• Analytical mindset with high organizational skills and attention to detail.
• Excellent written and verbal communication skills.
• Ability to work both independently and as part of a collaborative team.
• Strong self-motivation and ambition to achieve goals in a competitive environment.

Culture & Benefits

• Opportunity to work in a fast-growing AI startup with a steep learning curve.
• Collaborative and close-knit team environment.
• Direct impact on the development and success of the company.
• Competitive base salary and potential for stock options.