Data Analyst - Trainee

About Company-

Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. We’re backed by SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins, and trusted by leading research labs and enterprises worldwide.

What you will do-

Evaluate your knowledge in this undergraduate-level Data Science assessment: probability & statistics (distributions, inference, hypothesis testing), linear algebra/calculus basics; data wrangling and EDA (Python/R, pandas/NumPy, SQL); visualization and storytelling; supervised/unsupervised learning (regression, classification, clustering), model evaluation (cross-validation, metrics) and feature engineering; experimentation (A/B testing), reproducibility/version control, and ethics, privacy, and bias.

You are good fit if -

• Fluent in English, with strong written communication skills and the ability to clearly explain your skill
• Bachelor’s degree (or pursuing one) in Computer Science or a related field. Master’s or PhD preferred, but not required.
• 0–2 years of experience with modern frontend frameworks, tools, or domains (e.g., Python, R ) is a plus

About Role-

• Flexible workload — work from anywhere, on your own schedule
• High impact — your craft directly improves models used by top AI labs & Fortune 500 teams
• Clear ownership — know exactly what success looks like and have autonomy to deliver
• Growth potential — consistent high performers spearhead new programs and mentor incoming SMEs

Interview Process-

• Click on the Apply link and sign up.

• Upload your resume and complete the ID verification.

• After verification, go to the Home Page.

• Click on “Start Interview with Zara” – the 15 min AI interview will be based on your resume.

• Complete the interview to proceed with onboarding.

Payout -

• Engagement | Hourly, at‑will contractor
• Schedule | Fully remote & asynchronous (min. 15 hrs/week)
• Pay Range (US) | $25 – $100 per hour
• Start Date | Rolling — staffed as projects launch