PhD. in Mathematics (Math & Coding)

Job Title: PhD. in Mathematics (Math & Coding)

Job Type: Contract (Full-time or Part-time)

Location: Remote

Job Summary:

Join our customer's team as a Math & Coding Data Annotator and play a critical role in driving the quality of advanced mathematical and programming datasets. You'll leverage your math and coding expertise to meticulously annotate content, ensuring clarity, precision, and accuracy for high-impact projects. This is a unique opportunity to combine your love for problem-solving with your attention to detail in a collaborative, fully remote environment.

Key Responsibilities:

• Interpret, analyze, and precisely annotate a wide range of math and coding problems and solutions.
• Review and validate algorithmic solutions, ensuring compliance with relevant standards and annotation guidelines.
• Identify and clarify ambiguities in problem statements through effective written and verbal communication with the team.
• Utilize knowledge of algorithms, data structures, and mathematical concepts to ensure accurate labeling.
• Collaborate closely with other annotators and project managers to uphold quality and consistency across datasets.
• Continuously update annotation documentation by providing feedback and suggesting improvements.
• Maintain high standards of accuracy and detail while working independently in a remote setting.

Required Skills and Qualifications:

• PhD. in Mathematics or related field.
• Proficiency in at least one programming language (e.g., Python, C++, Java) with proven experience implementing and testing algorithmic solutions.
• Exceptional attention to detail and precision in interpreting and annotating technical content.
• Excellent written and verbal communication skills, with a strong ability to explain reasoning and analytical decisions.
• Self-motivated and disciplined, thriving in a full-time remote setting.

Preferred Qualifications:

• Experience solving Project Euler or similar algorithmic problem sets.
• Background in data annotation or labeling on STEM content.
• Advanced coursework or a degree in mathematics, computer science, or a related discipline.