Associate Analyst

Job Description-

• Company Name:  Vaco Binary Semantics LLP
  
• Profile:  Associate Analyst
  
• Work Location:  Gurgaon
  
• Experience:  0-2 years
  
• Type:  Permanent Job
  
• Shift Timing:  Rotational Shifts
  
• Working Model:  Work from Office
  

Job Description:

This involve tasks that require human evaluators to assess and rate various types of content or technical performance. 
These projects often rely on subjective judgment and human expertise to make qualitative
evaluations.
Here are some common examples:
● Fact-checking: Evaluating whether the LLM's responses are factually
accurate and well-sourced.
● Summarization: Assessing the quality and comprehensiveness of summaries
generated by the LLM.
This requires a unique combination of skills to ensure fairness, accuracy, and
consistency in the evaluation process.

Core Skills:

● Intellectual Curiosity: This knowledge allows for informed judgments and
the ability to identify nuances
● Critical Thinking: The ability to analyze information objectively, weigh
evidence, and draw logical conclusions is crucial for making sound
judgments.
● Attention to Detail: Meticulous attention to detail is necessary to identify
errors, inconsistencies, and potential biases in the evaluation process.
● Consistency: Applying consistent standards and criteria across all
evaluations is essential for ensuring fairness and reliability.
Soft Skills:

• Communication Skills: Effective communication is vital for conveying
  feedback and justifying ratings in a clear and concise manner.
  ● Adaptability: The ability to adapt to changing circumstances and
  unexpected challenges is important in dynamic project environments.
  ● Open-mindedness: A willingness to consider alternative viewpoints and be
  open to new information is essential for unbiased evaluation.
  ● Self-awareness: Recognizing one's own biases and limitations can help
  mitigate their impact on the rating.
  ● Engage in Discussions: Participate in conversations with people from
  different backgrounds and viewpoints.
  Educational Background
  ● BE / Btech / BSC (Hons.) in any field / domain --advanced degrees (e.g., MBA,
  MSc) or certifications are advantageous
  ● 0-2 years of experience in similar projects
  [Preferred]
  ● Data Science or Computer Science Background - Familiarity with data
  analysis and machine learning can be helpful for tasks that involve rating large
  datasets.
  
  Prepare yourself on these terms with examples:
  Precision , Recall , Grounding , F1 Score, Halocination
  

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