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Bilingual Generalists
Micro1 • Remote
Education
Any
Type
Pay Rate (by country)
$49–$98/task
Listed
147d ago
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About this Role
From the Micro1 listing
Job Summary
Join our customer's team as a Bilingual Generalist, playing a vital role in advancing cutting-edge AI systems. In this unique opportunity, you’ll leverage your native and English Language expertise and subject matter knowledge to create impactful training data that shapes the future of artificial intelligence. Your contributions will directly influence the accuracy, reliability, and depth of AI models used across various industries.
Key Responsibilities
Develop and refine high-quality, multiple-language training datasets that reflect real-world scenarios and expert-level subject matter understanding. Design, craft, and validate challenging knowledge-based question–answer pairs using multi-source research and obscure, credible references. Assess and annotate data to ensure accuracy, clarity, and alignment with project requirements. Collaborate with AI trainers, engineers, and researchers to identify content gaps and enhance system learning outcomes. Produce detailed, source-backed justifications for all created data and questions, ensuring full verifiability and time-resistance. Maintain rigorous documentation of your work and contribute to continuous process improvement. Communicate effectively in both English and a second language, delivering insights and feedback in both written and verbal formats.
Required Skills and Qualifications
Native or near-native fluency in a English and a second language (written and verbal). Demonstrated expertise in a professional or academic domain (e.g., sports, Music Hardware, video games, etc.). Exceptional research skills with the ability to locate, evaluate, and synthesize information from obscure, reliable sources. Attention to detail and a passion for quality, accuracy, and process improvement. Strong analytical thinking with a focus on verifiability and logical justification. Ability to craft clear, nuanced questions and explanations tailored to advanced AI learning. Comfortable working remotely and independently, while proactively engaging with a diverse, global team.
Preferred Qualifications
Previous experience training, annotating, or curating data for AI or machine learning projects. Familiarity with AI systems, knowledge modeling, or advanced digital research tools. Advanced degree or professional certification in your subject matter field.
Requirements
- Must be eligible to work in Remote
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in Data Science
Eligible Languages
Fluent proficiency in English
Key Responsibilities
- Develop and refine high-quality, multiple-language training datasets that reflect real-world scenarios and expert-level subject matter understanding.
- Design, craft, and validate challenging knowledge-based question–answer pairs using multi-source research and obscure, credible references.
- Assess and annotate data to ensure accuracy, clarity, and alignment with project requirements.
- Collaborate with AI trainers, engineers, and researchers to identify content gaps and enhance system learning outcomes.
Why This Role
Geography stops mattering here. This remote Bilingual Generalists opportunity pays $73.5/hr regardless of where you're based, making it a solid entry point into Data Science work without needing to relocate.
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Frequently Asked Questions
Can I apply to Micro1 from outside the US or UK?
Yes. Micro1 accepts applicants from most countries worldwide, unlike DataAnnotation or Outlier, both of which cap access to a handful of English-speaking countries. Most roles still require strong written and spoken English.
Does Micro1 monitor your computer while you work?
On many projects, yes, through time-tracking tools that take periodic screenshots to verify active hours. Check the specific project's requirements before accepting if desktop monitoring is a dealbreaker.
What does the Micro1 application process look like?
Expect a screening interview with Zara, Micro1's AI recruiter. Prepare for it like a real video call: good lighting, clear audio, verbal answers to technical questions. A human manager reviews the recording afterward, and some roles add a short skills assessment on top.
What does task-based AI training work actually look like?
Practical, hands-on data work: recording short videos, categorizing images, rating text responses, or analyzing data. Tasks are designed to be short and distinct, typically 5 to 60 minutes each.
What does asynchronous AI training work mean in practice?
No set hours, no check-ins, no meetings. You log in when you want, pick up an available task, complete it, and submit; nobody is waiting on you in real time. That's different from remote employment, where you're expected online during business hours. The tradeoff: you're competing with others for available tasks, so an empty queue means there's simply nothing to do until more work is released.
What does Data Science work look like for a Bilingual Generalists?
Tasks here are scoped to Data Science, not generic labeling. As a Bilingual Generalists, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Data Science) rather than following a one-size-fits-all rubric. If you don't have hands-on Data Science background, this is likely not the right listing to start with.
Do I need to be fluent in English?
Yes. This role specifically requires English proficiency. You will likely be evaluated on written fluency during the assessment, not just conversational level. If English is not your first language or you are not professionally fluent, this is not the right role. Filter for your native language to find better-matched listings.
What happens when I click Apply on this listing?
You'll be taken to Micro1's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.