Alignerr
Posted 175 days agoVerified live 17h ago
Statistics Expert
Brief overview
Remote
UndergradOr in progress
$25–$100/hrStated range
Deep expertise in probability and statisticsData annotationConcept mappingSolution verificationContent developmentRed teamingExperience with data labelingExperience with RLHFAI training projects
About the company
Alignerralignerr.com
We're looking for experts to help train better AI.
Job description
Summary
Alignerr is a company that builds the data engine that accelerates breakthrough AI. They are seeking a Statistics Expert to accurately label and categorize statistical expressions, provide feedback on AI-generated solutions, and contribute to training datasets for AI models.
Responsibilities
- Data annotation: Accurately label and categorize statistical expressions, equations, datasets, problems, and related content
- Concept mapping: Connect statistical concepts and establish relationships between topics such as probability, distributions, hypothesis testing, regression, and statistical modeling to help AI models understand the underlying structure of statistics
- Solution verification: Analyze and provide feedback on AI-generated solutions to statistics and probability problems, identifying errors and offering step-by-step explanations to improve model accuracy
- Content development: Contribute to comprehensive training datasets covering a broad range of statistics concepts and difficulty levels
- Red teaming: Identify potential biases, inaccuracies, or limitations in the AI’s understanding of statistics and probability. Design tests to ensure AI outputs are robust and practically applicable
Skills
- Deep expertise in probability and statistics, demonstrated through research, teaching, or applied problem-solving
- Enrolled in or have completed a Bachelor's degree or higher from an accredited institution
- Experience building or reviewing complex data, educational, or technical content
- Native-level proficiency in probability and statistics, and communicate concepts clearly in written English
- Experience with data labeling, RLHF, or other AI training projects
Qualifications
Must Haves
- Deep expertise in probability and statistics, demonstrated through research, teaching, or applied problem-solving
- Enrolled in or have completed a Bachelor's degree or higher from an accredited institution
- Experience building or reviewing complex data, educational, or technical content
- Native-level proficiency in probability and statistics, and communicate concepts clearly in written English
Nice to Haves
- Experience with data labeling, RLHF, or other AI training projects
Benefits
- 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
