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Computer Science Specialist
4 weeks ago
We are looking for Computer Science resources with experience or knowledge about LLM (Large Language Model) context leading to evaluating, improving, or creating content related to science, technology, engineering, and mathematics within the LLM. This could involve tasks like ensuring the accuracy of LLM outputs in STEM fields, designing prompts for research scenarios, or developing datasets for training and evaluation. The role may also involve collaboration with technical teams to enhance the LLM's capabilities in these areas.
Responsibilities
- Assessing the accuracy, depth, and logical coherence of the LLM's responses in STEM-related areas OR Designing and executing tests using prompts to probe the LLM's capabilities and identify areas for improvement.
- Review and edit language content for related to CS (Computer Science) Science, Technology, Engineering or Mathematics (STEM).
- Collaborate with content creators, annotators, and other stakeholders to ensure consistency and quality across all communications.
- Assessing the quality of LLM outputs, identifying errors or inconsistencies, and providing detailed feedback.
- Keeping abreast of current trends and research in STEM fields to ensure the LLM remains relevant and accurate.
- Provide cultural insights to ensure content resonates with target audiences.
- Required Hours: 25-30 hours per week
- Project Start Date: after completing Versant Test
- Required Test: Versant for English language
- Eligibility: Only C1 & C2 scorers will be considered
- Required: Versant to give Today (1 Hour test)
- Mandatory: Kindly apply to this post urgently to get the Versant assigned.
Qualifications
- Bachelor's or Master's or PhD degree in Computer Science (CS), STEM field or related area (e.g., science, technology, engineering, mathematics, or education).
- Native or near-native proficiency in English.
- Understanding of the AI related technologies and LLMs (Large Language Models).
- Strong attention to detail and commitment to linguistic accuracy.
- Ability to work collaboratively in a fast-paced environment.
- Tier 1 & Tier 2 college Students or Pass outs are preferred.
Skills
- Strong foundation in research methodology and subject matter expertise in a STEM field (e.g., mathematics, science, engineering).
- Experience with technical writing, academic research, or content creation.
- Excellent analytical and critical thinking skills.
- Ability to evaluate scientific reasoning and technical writing.
- Strong written communication skills.
- Experience with prompt engineering and LLM evaluation.
- Familiarity with research trends and open questions in the relevant STEM field.
- Ability to work independently, asynchronously, and remotely.
