Tejas

Key Skills

Software

Other

Data Annotation Tech

Mercor

Mindrift

Internal/Proprietary Tooling

Top Subject Matter

Marketing research and AI model evaluation for RLHF/supervised fine-tuning clients (Google, Anthropic)

Market research and customer behavior analysis with structured quality scoring

Marketing research evaluation and workflow documentation for small/mid-size business segments

Top Data Types

Document

Text

Image

Top Task Types

RLHF

Evaluation/Rating

Segmentation

Freelancer Overview

Marketing Analyst (AI Evaluation) at Turing — AI model training/evaluation and RLHF support. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and N. Education includes Bachelor of Business Administration, Indraprastha University (2018). AI-training focus includes data types such as Document and Text and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

Marketing Analyst (AI Evaluation) at Turing — AI model training/evaluation and RLHF support

DocumentRLHF

Provided RLHF and supervised fine-tuning support by evaluating AI model outputs for marketing clients, focusing on response quality, relevance, and factual grounding. Used structured rubrics to compare response quality across iterations and multi-turn prompt sessions, then submitted detailed comparative assessments and conversation transcripts. Developed domain-specific prompts to benchmark model behavior and inform model improvement cycles for concurrent engagements. • Evaluated AI-generated marketing content and structured outputs using defined scoring criteria • Compared usefulness and accuracy across model iterations in multi-turn sessions • Authored realistic marketing/domain prompts to test and benchmark behavior • Delivered rubric-based comparative feedback and transcript artifacts as project deliverables

2023 - Present

Analyst (Research & Business Evaluation) at ISG — structured research evaluation and comparative feedback

OtherText

Conducted business analysis and primary research for technology advisory engagements, evaluating vendor responses and market claims for accuracy, clarity, and competitive relevance. Applied critical thinking frameworks to assess multi-source research outputs, identify discrepancies, and recommend corrections before client delivery across many engagements. Supported financial planning analyses by compiling and interpreting structured datasets for operational and budget decision-making. • Evaluated vendor responses and market claims using defined quality criteria • Reviewed and reconciled multi-source research outputs before stakeholder delivery • Compiled and interpreted structured datasets for financial planning support • Produced structured comparative evaluations for senior analysts and client stakeholders

2021 - 2023

Marketing and Research Coordinator at ISG — structured evaluation summaries and documentation

OtherText

Performed marketing and research coordination that included producing structured evaluation summaries comparing marketing approaches, vendor claims, and campaign results. Managed workflow documentation using spreadsheets and data input files to maintain accuracy and consistency across concurrent project timelines. Translated customer interaction patterns and operational challenges into comparative evaluations for downstream stakeholders. • Compiled structured evaluation summaries across multiple sources and client briefs • Maintained accuracy and consistency in spreadsheets and written deliverables • Mapped customer interaction patterns and operational challenges across verticals • Supported comparative analysis of vendor claims and marketing outcomes

2019 - 2021

Marketing and Research Associate at AskWonder — structured research evaluation and quality scoring

Text

Conducted on-demand marketing and customer behavior research with scoring of source credibility and response quality against defined benchmarks. Applied structured quality and accuracy criteria to assess clarity, usefulness, and factual accuracy, using methodology that parallels AI response evaluation frameworks. Produced structured research deliverables with an emphasis on consistent, quality-controlled outputs for client use. • Evaluated research source credibility and response quality using defined scoring rubrics • Assessed outputs for clarity, usefulness, and factual accuracy • Produced structured research summaries and deliverables for fast turnaround clients • Applied criteria transferable to AI response evaluation practices

2018 - 2019

Education

Work History