Research Analyst | Remote

Crossing Hurdles; India; Remote; INR 1,537,190 - 2,049,586; Part time

Job summary

A leading consultancy firm is seeking a detail-oriented Business Analyst to work on evaluation and annotation projects. This remote role involves conducting fact-checking, programming basic command-line instructions when necessary, and supporting workflows focused on quality and data assessment. Candidates should have experience in evaluation, annotation, or QA work, with strong communication skills to document findings and insights. Immediate start is required, with full-time availability expected.

Qualifications

• Prior experience with evaluation, annotation, QA or audit-type work.
• Familiarity with data quality and content evaluation.
• Background in business analysis or process improvement preferred.

Responsibilities

• Support evaluation and annotation workflows focused on quality.
• Conduct fact-checking to validate information and identify inaccuracies.
• Document findings and communicate insights to stakeholders.

Skills

Detail-oriented

Data quality assessment

Evaluation and annotation

Basic command-line usage

Job description

Role: LLM - Business Analyst / Data Annotator / Research Analyst

Type: Short Term Contract (2 months)

Location: Remote

Start Date: Immediate

Role Overview

• We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning.
• Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance.
• Conduct fact-checking to validate information and identify inconsistencies or inaccuracies.
• Provide detailed, well-structured justifications to support evaluation decisions.
• Follow established evaluation guidelines and quality standards consistently.

What You’ll Work On

• Execute simple command-line instructions when required to support evaluation workflows.
• Document findings clearly and communicate insights to stakeholders when needed.
• Work in iterative cycles focused on data quality, output evaluation, and structured reasoning.

Who This Is For

• Candidates with prior experience with evaluation, annotation, QA, or audit-type work.
• Professionals familiar with data quality, content evaluation, or model/output assessments.
• Background in business analysis, operations, or process improvement is preferred.
• Ability to run basic command-line commands (no advanced programming required).
• Availability full time (8 hrs/day, 40 hrs/week) with at least 4–5 hours overlap with PST.

Application Process

• Go through the assessment instructions before appearing for the assessment