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-
Review and evaluate AI-generated frontend code (JavaScript, HTML, CSS) for correctness, efficiency, accessibility, and clarity
Write high-quality frontend solutions to UI and web development problems across varying difficulty levels
Create clear, user-friendly explanations for design decisions, code logic, and problem-solving strategies
Identify and flag edge cases or ambiguities in problem statements or AI responses.
You are good fit if -
Fluent in English, with strong written communication skills and the ability to clearly explain frontend coding concepts
Expertise in JavaScript or any language : Deep familiarity with core JavaScript features such as async/await, closures, DOM manipulation, ES6+ syntax, and browser APIs
0–5 years of experience with modern frontend frameworks, tools, or domains (e.g., React, Vue, Angular, web development) is a plus
Bachelor’s degree (or pursuing one) in Computer Science or a related field. Master’s or PhD preferred, but not required.
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.
Wisdom, the ability to apply knowledge to the real world with discernment, is critical for today’s enterprise. However, wisdom becomes available to the enterprise after the iterative application of knowledge to multiple long-tail experiments.
Straive helps clients operationalize the Data →Insights → Knowledge → AI value chain. Straive’s clients extend across industries, including Financial Services, Insurance, Healthcare & Life Sciences, Scientific Research, Information Providers, EdTech, and Logistics
We combine data-driven insights with enterprise know-how to create knowledge unique to an enterprise and its specific problems. This "specific knowledge” is embedded into digital technology & AIs and operationalized with human experts-in-loop, who facilitate iterative improvements in the technology while navigating the complexity that it can’t yet address.
With a client base scoping 30 countries worldwide, Straive’s multi-geographical resource pool of 15000+ experts, is located across the United States, UK & Europe, Singapore, South Africa, India, Philippines, Nicaragua, Canada and Vietnam.
In Nov 2023, Straive acquired Gramener, an award-winning, design-led data science company to enhance data, analytics and AI capabilities
Straive is an equal opportunity employer. We are committed to celebrating diversity, equity, & inclusion in the workplace. We do not tolerate discrimination & harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Straive makes hiring decisions based solely on qualifications, merit, & business needs at the time.
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