Job Description
About Us:
Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact.
About the Role:
We are looking for candidates with experience in GMAT/GRE preparation or aptitude training. You will annotate reasoning chains, detect logical fallacies, evaluate argument structures, and produce clear, correct reasoning paths for standardized test-style datasets.
Key Responsibilities:
- Analyze arguments, patterns, and logical structures in GMAT/GRE-style questions.
- Annotate reasoning chains, identify fallacies, and validate the correct logical flow.
- Review critical reasoning explanations for clarity and accuracy.
- Break down problems into structured reasoning steps.
- Produce gold-standard solutions and corrected reasoning sequences.
- Ensure consistency in tagging logical structures and argument types.
Skills & Experience Required:
- Experience in GMAT/GRE test preparation, tutoring, or aptitude training.
- Strong ability in pattern recognition, logical structure analysis, and critical reasoning.
- Skilled at identifying flawed assumptions, invalid logic, and reasoning gaps.
- Ability to write clear, structured, and concise logical explanations.
- strong test-prep experience and ability to break down and evaluate logical reasoning structures.
Why Join Us
- Work on high-impact projects that contribute to building AI for Good.
- Collaborate with top-tier engineers and domain experts from IITs, NITs, and BITS.
- Opportunity to grow in a fast-paced, innovation-driven environment.
NOTE: This will be a flexible freelancing opportunity. Pay will vary by project and typically is up to 1500 per hour.
More Info
Key Skills
GRE preparation
logical structure analysis
critical reasoning
aptitude training
identifying flawed assumptions
