Remote entry Level- LLM Grader Specialist
Job Description: As an LLM Grader Specialist, you will be responsible for evaluating and enhancing the accuracy and effectiveness of our automated grading systems.
You will work closely with machine learning engineers, instructional designers, and educational content creators to ensure that our grading tools provide meaningful and reliable assessments of written responses.
Key Responsibilities:
Rubric Development: Design and refine scoring rubrics that outline assessment criteria for written content, focusing on key aspects such as coherence, creativity, grammar, and relevance.
Data Analysis: Analyze the performance of currently deployed LLM grading systems to identify areas for improvement and develop strategies to enhance grading accuracy and reliability.
Feedback Mechanism Design: Create detailed feedback mechanisms aimed at providing actionable insights to users, aiding them in understanding their writing strengths and weaknesses.
Collaboration with Technical Teams: Work with machine learning engineers to incorporate findings into the development and training of the grading algorithms, ensuring they align with educational standards.
User Testing: Conduct user testing to refine grading processes and ensure usability and effectiveness for both students and educators.
Ongoing Monitoring: Continuously monitor the performance of LLM graders and implement improvement strategies based on user feedback and assessment results.
Research and Trends: Stay updated on advancements in AI and educational assessment to recommend and implement best practices in automated grading.
Qualifications:
Bachelor's degree in Education, Computer Science, Linguistics, or a related field; advanced degrees preferred.
Strong understanding of assessment strategies, educational psychology, and language processing.
Experience with machine learning or natural language processing techniques is a plus.
Excellent analytical and problem-solving skills.
Strong communication skills, both verbal and written.
Job Description: As an LLM Grader Specialist, you will be responsible for evaluating and enhancing the accuracy and effectiveness of our automated grading systems.
You will work closely with machine learning engineers, instructional designers, and educational content creators to ensure that our grading tools provide meaningful and reliable assessments of written responses.
Key Responsibilities:
Rubric Development: Design and refine scoring rubrics that outline assessment criteria for written content, focusing on key aspects such as coherence, creativity, grammar, and relevance.
Data Analysis: Analyze the performance of currently deployed LLM grading systems to identify areas for improvement and develop strategies to enhance grading accuracy and reliability.
Feedback Mechanism Design: Create detailed feedback mechanisms aimed at providing actionable insights to users, aiding them in understanding their writing strengths and weaknesses.
Collaboration with Technical Teams: Work with machine learning engineers to incorporate findings into the development and training of the grading algorithms, ensuring they align with educational standards.
User Testing: Conduct user testing to refine grading processes and ensure usability and effectiveness for both students and educators.
Ongoing Monitoring: Continuously monitor the performance of LLM graders and implement improvement strategies based on user feedback and assessment results.
Research and Trends: Stay updated on advancements in AI and educational assessment to recommend and implement best practices in automated grading.
Qualifications:
Bachelor's degree in Education, Computer Science, Linguistics, or a related field; advanced degrees preferred.
Strong understanding of assessment strategies, educational psychology, and language processing.
Experience with machine learning or natural language processing techniques is a plus.
Excellent analytical and problem-solving skills.
Strong communication skills, both verbal and written.