01
Data Annotation
Text classification, sentiment labeling, categorization, and structured annotation.
Data Annotation & AI Data Quality — Freelancer
Accurate Data. Reliable Research. Quality AI Support.
Freelance Data Annotation, Data Quality, Research, Data Entry, and AI Evaluation support with strong attention to detail and multilingual capability.
Doli Abhigna/Hyderabad, India/Available for remote projects
annotation_sample.csvQC / Pass
| ID | Text | Label | Review |
|---|---|---|---|
| 01 | Order confirmed, delivery on time. | Positive | Pass |
| 02 | App crashed before saving my work. | Negative | Pass |
| 03 | Thanks for the quick reply. | Positive | Pass |
| 04 | It was okay, nothing special. | Neutral | Flag |
Self-directed demonstration · not client work
CapabilitiesText classificationSentiment labelingData validationAI evaluationWeb researchEN–TE localization
01 — Services
Structured support for detail-first work
Services are available as focused tasks or as part of a repeatable remote workflow, depending on your project requirements.
02
AI Data Quality
Reviewing, validating, and identifying inconsistencies in AI training and evaluation data.
03
AI Response Evaluation
Checking AI-generated responses for relevance, accuracy, completeness, and instruction-following.
04
Data Entry & Cleaning
Accurate entry, spreadsheet organization, duplicate checking, formatting, and validation.
05
Web & Internet Research
Finding, collecting, organizing, and presenting information from reliable online sources.
06
Virtual Assistance
Administrative support, information organization, document preparation, and repetitive digital tasks.
07
English–Telugu Language Support
Translation, localization, proofreading, text review, and language-focused data tasks.
02 — Portfolio
Sample projects & demonstrations
Every project below is a self-directed portfolio demonstration using original fictional examples. They show how information can be structured, reviewed, and prepared for delivery — not paid client work.
01 / Annotation workflow
Data Annotation & Quality Control
| ID | Text | Label | Review |
|---|---|---|---|
| A1 | Helpful and clear. | Positive | Pass |
| A2 | Confusing, had to re-read. | Negative | Flag |
| A3 | On time. | Neutral | Pass |
| A4 | Not sure, maybe it broke. | Ambiguous | Review |
Text classification · sentiment labeling · annotation consistency · ambiguity detection · quality-control review
02 / Spreadsheet workflow
Data Entry & Spreadsheet Cleaning
Before
| John D | 12/01/24 |
| john d | 12.01.24 |
| — | 01.12.24 |
After
| John D. | 2024-01-12 |
| Duplicate | 2024-01-12 |
| Missing | 2024-01-12 |
Structured records · duplicate detection · standardized formatting · missing-value identification · validation
03 / Research workflow
Web Research & Information Extraction
| Source | Topic | Key information | Status |
|---|---|---|---|
| Sample A | Crop rotation | Cycle length varies by region | Organized |
| Sample B | Drip irrigation | Water use depends on setup | Check |
| Sample C | Soil moisture | Measure before scheduling | Organized |
Fictional/sample research subjects organized into a structured, reviewable table.
04 / Evaluation workflow
AI Response Evaluation
| Prompt | Relevance | Accuracy | Completeness | Assessment |
|---|---|---|---|---|
| Explain pH | High | High | Full | Keep |
| List five cities | High | Low | Partial | Revise |
| Summarize steps | High | High | Full | Keep |
Original fictional examples reviewed for relevance, accuracy, completeness, instruction-following, and overall quality.
05 / Language workflow
English–Telugu Language & Localization Sample
English
Please review the data before you submit it.
Telugu
మీరు సమర్పించే ముందు డేటాను సమీక్షించండి.
Meaning preservation · natural language · grammar · context awareness. This is an original sample, not client work.
03 — Workflow
A repeatable process for clean output
01
Understand
Understand project instructions, guidelines, and expected output.
02
Research / Process
Collect, classify, organize, or evaluate the required information.
03
Validate
Check accuracy, consistency, formatting, and completeness.
04
Quality Control
Review the completed work and identify errors or ambiguous cases.
05
Deliver
Provide clean, structured, client-ready output according to requirements.
04 — Skills
Grouped by capability
Data
- —Data Annotation
- —Data Labeling
- —Data Entry
- —Data Cleaning
- —Data Validation
- —Data Classification
- —Data Quality Control
AI
- —AI Response Evaluation
- —AI Training Data
- —Text Classification
- —Sentiment Analysis
- —Content Evaluation
- —Instruction Following Evaluation
Research
- —Web Research
- —Internet Research
- —Information Extraction
- —Data Collection
- —Fact Organization
Administrative
- —Spreadsheet Management
- —Document Formatting
- —Online Research
- —Virtual Assistance
- —Quality Checking
Digital Workflow
Microsoft ExcelGoogle SheetsGoogle DocsWeb-based research toolsAI-assisted productivity toolsSpreadsheet and document workflows
Tools and categories are listed broadly; no tool-specific certifications or professional claims are implied.
05 — Why work with me
A careful, organized remote workflow
Detail-oriented
Careful with instructions and guidelines
Strong focus on accuracy
Organized data handling
Clear communication
Multilingual capability
Comfortable with repetitive quality-focused tasks
Reliable remote workflow
Willing to learn new platforms and project-specific guidelines
About
Doli Abhigna
Data Annotation & AI Data Quality Freelancer based in Hyderabad, Telangana, India. Focused on accurate, well-organized, quality-checked support for remote projects.
Languages
TeluguNative
EnglishFluent
HindiBasic
MarathiBasic
Education
B.Sc. Agriculture
Bi.P.C background
06 — Contact
Have a project that needs accurate, organized support?
I’m available for remote freelance projects involving data annotation, data quality, research, data entry, AI evaluation, language tasks, and virtual assistance.
Contact Me
abhignadoli94@gmail.com
Hyderabad, Telangana, India