Business Analyst-Vietnamese

Company Description:
Curvia AI is a technology and AI solutions company that transforms complexity into opportunity through enterprise solutions, AI-powered automation, and data-driven insights. We build practical, scalable, and human-centered technology grounded in integrity, security, and responsible innovation.
Role Overview:
We are looking for candidates with strong analytical and English comprehension skills. The ideal candidate should have the ability to read, summarize, and break down large content into smaller logical blocks, conduct research online, validate claims made in the content through online research, and work with the LLM (Large Language Models) to solve puzzles!
Your role is critical in helping fine-tune and improve large language models (like gpt), and will make you an expert on how to leverage AI to be a better analyst. This is your chance to future-proof your career in an AI-first world!
Offer details:
Mode of work: Fully Remote
Employment Type: Contract
Commitments Required: Full-time. 40 hours per week with at least 4 hours PST overlap
Start Date: Immediate
Number of openings: 40
Pay: US $3.6 /hour
Requirements
Multilingual capabilities are mandatory. (English and Vietnamese)
Analytical Skills: Good research and analytical skills
Feedback Skills: Ability to provide constructive feedback and detailed annotations.
Creative Thinking: Creative and lateral thinking abilities.
Communication: Excellent communication and collaboration skills.
Education and Experience
Bachelor's degree or undergraduate in Engineering, Literature, Journalism, Communications, Arts, Statistics, or a related field. We are open to candidates who do not have a Bachelor's degree but have experience in the area.
Experience writing professionally (business analysts, research analyst, copywriter, journalist, technical writer, editor, translator, etc.)
Understanding of Excel and Google Suite.
Proficiency in Data interpretation, Logical reasoning and Basic arithmetic is highly desirable.
What does day-to-day look like:
You would spend time answering a variety of interesting analytical questions and creating scenarios that can train the LLM models to get better. Here are a couple of examples which models might get wrong and you would have to give the correct answer and explanation to enable the models to learn:
Based on a given distribution of sales by month across locations, could you analyze which location has grown the most? (Hint: what time period should we look at? should we account for sudden variability at the beginning?)
In a small town, there are four distinct neighborhoods: Oak, Pine, Maple, and Elm. A postman is assigned to deliver mail and can only deliver to two neighborhoods in one day, with certain rules (e.g. Oak is always visited before Pine). If he delivers to Oak and Elm on the first day, which neighborhoods does the carrier deliver to on the second day?
Note: No other prior specialized domain experience is needed.
Availability
At least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week)