Verified Job
IT / Software / Data Analyst
Data Architect - Annotation
IT / Software / Data Analyst
#676374
Remote / WFH
Job Description
Travclan
SDE 1 (Backend developer)
Travclan • New Delhi, Delhi • via HR Software For Growing Businesses Freshteam
11 hours ago
Full–time
No Degree Mentioned
Apply on HR Software For Growing Businesses Freshteam
Apply on Platform.uplers.com
Apply on JobLeads
Apply directly on CallCenterjob.co.in
Job description
About us:
We are B2B Travel Tech startup that is reshaping the way travel agents sell and deliver exceptional travel experiences worldwide. We enable travel agents to book flights, hotels & holidays conveniently and we provide comprehensive end-to-end on-ground travel services. We do over INR 1000 crore+ GMV (sales) and are growing rapidly.
Our strong business model and focus on delivering excellent customer experience has facilitated our sustainable growth funded by internal cashflows. To fuel innovation and growth, we have raised USD 5.5mn+ funds from marquee global investors!
Profile Overview:
SDE I (Backend) at TravClan is a key role which ensures a smooth experience for our customers on our website/app. You will work in close liaison with almost every internal team providing help with Lead Management System, Booking Management System,Payment Gateway, etc. And, will be working with product owners to understand what the business needs in terms of technology.
Growth Prospects:
• Annual CTC - ₹ 7 to 14 LPA
• ESOPs + promotions + aggressive growth prospects (read further)!
• Fast Appraisal - Despite Covid, we had appraisals in 6 months in Jan & July 2020
• Aggressive Hikes - In May'21 & Jan'22, Average Hike was 35% & 30% respectively
Growth Path
VP/Director
40-50 LPA
Manager/ Tech Lead
25-40 LPA
APM/SDE 2
14-25 LPA
Analyst/SDE 1
7-14 LPA
Whats on Offer:
• Work on Best Tech Stack - Python / Django, Java, MySQL, NodeJS, Android
• Learn from Best Mentors with Cumulative 50+ years of experience in Tech who previously worked in 4 unicorns
• Fast Career Growth with fast appraisals and fast salary increase
• Super passionate team with deep conviction which has stayed together during covid.
• Build world class tech products and leverage technology to drive growth globally!
• Very high ownership role in a fast-paced environment
• Great Culture -> No hierarchy / politics nonsense guaranteed!
Our founding team:
The founding & engineering team has worked in senior leadership roles at successful internet startups in India and Overseas
• Arun - Cofounder, leads Product & Growth Ex Cars24, TravelTriangle, TripFactory, IIM Bangalore
• Chirag - Cofounder, leads Business Operations Ex Oyo, TravelTriangle, IIM Ahmedabad, IIT Roorkee
• Ashish - Cofounder, leads Technology Ex CTO Cars24, CTO FabFurnish, Gaadi, Ex-Entrepreneur
• Shrawan: Tech Leader, 17+ yrs Tech exp, Ex CTO Millenium Entertainment, One Kosmos
• Akshat: Tech Owner, 14+ yrs Tech exp, Ex Cars24, Worked in USA, Singapore
• Rajesh:Tech Owner, 11+ yrs Tech exp, Ex Hike, Foodpanda
Company Profile:
• You read the detailed company profile here.
• To know more about us, have a look at a few videos on Youtube!
What we are looking for:
Must have technical skills -
• Strong proficiency in either Python (Django) or Node.js (Express).
• Experience with relational databases like MySQL and NoSQL databases such as MongoDB.
• Hands-on expertise with Redis and ElasticSearch.
• Experience with message queuing systems like RabbitMQ.
• Familiarity with Docker for containerization.
• Knowledge / Hands-on experience of following are added advantages
Kubernetes for orchestration.
CI/CD pipelines using Jenkins.
Firebase integration and usage.
Check if you fit in the role-
You Must-
• Enjoy working in a fast-paced environment
• Enjoy solving problems in a structured way
• Be focussed on creating scalable systems
You Can-
• Understand & break down complex problems into smaller tasks
• Work closely with various stakeholders
You Want to-
• Develop robust solutions for the travel ecosystem
• Design, build and launch global products
This role is not ideal for someone who is-
• Has not worked on 2-3 backend applications independently
• Lacks basic proficiency in either Python (Django) or Node.js (Express).
• Has not created any backend applications from scratch
• Is not comfortable with long working hours i.e. 10 - 12 hours daily
• Is not comfortable working 5 days a
week from office in Delhi
The Recruitment Process:
1. Aptitude Test: The first step of the recruitment process is a 30-minute basic aptitude test.
2. Technical Assessment Task: This one-hour role specific assessment will be an evaluation of the ‘must have technical skills’ mentioned above.
3. Personal Interviews: 2-3 video interviews. Detailed discussions about the job profile, company & candidature are discussed in these rounds.
4. Extending an offer: On successfully clearing the interview rounds, the job offer is extended to the candidate. This includes financial benefits, ESOPs and many other benefits.
Important Points:
• Office Location- Connaught Place, Delhi
• Work Timings - 9:30 till work gets over. You are considering joining a startup. Building anything of value takes time. The majority of our exits happen within
the first 2 months of people joining because new joiners are not able to adjust to the high pace environment. You can expect 10-12 hours of work in a day!
Looking forward to having you on board with us!
Report this listing
Travclan
AmbitionBox
3.5/5
109 reviews
Glassdoor
3.5/5
364 reviews
travclan.com
More jobs at Travclan
See web results for Travclan
C
Confidential
Data Architect - Annotation
Confidential • New Delhi, Delhi • via Learn4Good
18 hours ago
Full–time
Apply on Learn4Good
Job description
Position: Data Architect - Annotation )
As a Data Architect - Annotation, you'll serve as the critical bridge between the Prompt Engineering team and the Data Labeling team, ensuring that the data feeding our AI systems is clean, consistent, and production-ready. You will own the workflows that generate, organize, and maintain high-quality datasets across multiple modalities, while using LLMs, automation, and statistical analysis to detect anomalies and improve data quality at scale.
Your work will directly influence the reliability of our Voice
AI and AI-driven products by ensuring that labeling pipelines, annotation standards, and evaluation data are robust enough to support high-stakes, real-world restaurant operations.
Essential Job Functions:
Data Operations & Workflow Ownership
Act as the transition point between Prompt Engineering and Data Labeling, translating model and product requirements into concrete data and annotation workflows.
Design, implement, and maintain scalable data workflows for dataset generation, curation, and ongoing maintenance.
Ensure data quality and consistency across labeling projects, with a focus on operational reliability for production AI systems.
Annotation & Quality Management
Create, review, and maintain high-quality annotations across multiple modalities, including text, audio, conversational transcripts, and structured datasets.
Identify labeling inconsistencies, data errors, and edge cases; propose and enforce corrective actions and improvements to annotation standards.
Utilize platforms such as Labelbox, Label Studio, or Langfuse to manage large-scale labeling workflows and enforce consistent task execution.
Automation, Tooling & LLM-Assisted QA
Use Python and SQL for data extraction, validation, transformation, and workflow automation across labeling pipelines.
Leverage LLMs (e.g., GPT-4, Claude, Gemini) for prompt-based quality checks, automated review, and data validation of annotation outputs.
Implement automated QA checks and anomaly-detection mechanisms to scale quality assurance for large datasets.
Analysis, Metrics & Continuous Improvement
Analyze annotation performance metrics and quality trends to surface actionable insights that improve labeling workflows and overall data accuracy.
Apply statistical analysis to detect data anomalies, annotation bias, and quality issues, and partner with stakeholders to mitigate them.
Collaborate with ML and Operations teams to refine labeling guidelines and enhance instructions based on observed patterns and error modes.
Cross-Functional Collaboration & Documentation
Work closely with Prompt Engineering, Data Labeling, and ML teams to ensure that data operations align with model requirements and product goals.
Document data standards, annotation guidelines, and workflow best practices for use by internal teams and external labeling partners.
Requirements
Experience with data annotation and hands-on use of platforms such as Labelbox, Label Studio, or Langfuse for managing large-scale labeling workflows.
Proficiency in Python and SQL for data extraction, validation, and workflow automation in a data operations or data engineering context.
Hands-on experience using LLMs (e.g., GPT-4, Claude, Gemini) for prompt-based quality checks, automated review, and data validation.
Demonstrated experience working with large-scale / high-volume datasets.
At least one prior role where data workflow automation is explicitly part of the job scope or responsibilities.
Ability to perform statistical analysis to detect data anomalies, annotation bias, and quality issues.
Strong requirement-elicitation and communication skills, with a process-driven and detail-oriented mindset when working with cross-functional teams.
Qualifications:
B.S. or higher in a quantitative discipline (Data Science, Computer Science, Engineering, or related field)
5+ years of relevant experience with a B.S. degree, or 3+ years of experience with a Master's degree
Demonstrated proficiency in SQL for reporting and Python for automation and scripting
Academic or applied research experience related to the NLP, LLM Benchmarking dataset is a strong plus
Must be flexible to work during US hours (until at least 1:30 PM EST) for this role.
SDE 1 (Backend developer)
Travclan • New Delhi, Delhi • via HR Software For Growing Businesses Freshteam
11 hours ago
Full–time
No Degree Mentioned
Apply on HR Software For Growing Businesses Freshteam
Apply on Platform.uplers.com
Apply on JobLeads
Apply directly on CallCenterjob.co.in
Job description
About us:
We are B2B Travel Tech startup that is reshaping the way travel agents sell and deliver exceptional travel experiences worldwide. We enable travel agents to book flights, hotels & holidays conveniently and we provide comprehensive end-to-end on-ground travel services. We do over INR 1000 crore+ GMV (sales) and are growing rapidly.
Our strong business model and focus on delivering excellent customer experience has facilitated our sustainable growth funded by internal cashflows. To fuel innovation and growth, we have raised USD 5.5mn+ funds from marquee global investors!
Profile Overview:
SDE I (Backend) at TravClan is a key role which ensures a smooth experience for our customers on our website/app. You will work in close liaison with almost every internal team providing help with Lead Management System, Booking Management System,Payment Gateway, etc. And, will be working with product owners to understand what the business needs in terms of technology.
Growth Prospects:
• Annual CTC - ₹ 7 to 14 LPA
• ESOPs + promotions + aggressive growth prospects (read further)!
• Fast Appraisal - Despite Covid, we had appraisals in 6 months in Jan & July 2020
• Aggressive Hikes - In May'21 & Jan'22, Average Hike was 35% & 30% respectively
Growth Path
VP/Director
40-50 LPA
Manager/ Tech Lead
25-40 LPA
APM/SDE 2
14-25 LPA
Analyst/SDE 1
7-14 LPA
Whats on Offer:
• Work on Best Tech Stack - Python / Django, Java, MySQL, NodeJS, Android
• Learn from Best Mentors with Cumulative 50+ years of experience in Tech who previously worked in 4 unicorns
• Fast Career Growth with fast appraisals and fast salary increase
• Super passionate team with deep conviction which has stayed together during covid.
• Build world class tech products and leverage technology to drive growth globally!
• Very high ownership role in a fast-paced environment
• Great Culture -> No hierarchy / politics nonsense guaranteed!
Our founding team:
The founding & engineering team has worked in senior leadership roles at successful internet startups in India and Overseas
• Arun - Cofounder, leads Product & Growth Ex Cars24, TravelTriangle, TripFactory, IIM Bangalore
• Chirag - Cofounder, leads Business Operations Ex Oyo, TravelTriangle, IIM Ahmedabad, IIT Roorkee
• Ashish - Cofounder, leads Technology Ex CTO Cars24, CTO FabFurnish, Gaadi, Ex-Entrepreneur
• Shrawan: Tech Leader, 17+ yrs Tech exp, Ex CTO Millenium Entertainment, One Kosmos
• Akshat: Tech Owner, 14+ yrs Tech exp, Ex Cars24, Worked in USA, Singapore
• Rajesh:Tech Owner, 11+ yrs Tech exp, Ex Hike, Foodpanda
Company Profile:
• You read the detailed company profile here.
• To know more about us, have a look at a few videos on Youtube!
What we are looking for:
Must have technical skills -
• Strong proficiency in either Python (Django) or Node.js (Express).
• Experience with relational databases like MySQL and NoSQL databases such as MongoDB.
• Hands-on expertise with Redis and ElasticSearch.
• Experience with message queuing systems like RabbitMQ.
• Familiarity with Docker for containerization.
• Knowledge / Hands-on experience of following are added advantages
Kubernetes for orchestration.
CI/CD pipelines using Jenkins.
Firebase integration and usage.
Check if you fit in the role-
You Must-
• Enjoy working in a fast-paced environment
• Enjoy solving problems in a structured way
• Be focussed on creating scalable systems
You Can-
• Understand & break down complex problems into smaller tasks
• Work closely with various stakeholders
You Want to-
• Develop robust solutions for the travel ecosystem
• Design, build and launch global products
This role is not ideal for someone who is-
• Has not worked on 2-3 backend applications independently
• Lacks basic proficiency in either Python (Django) or Node.js (Express).
• Has not created any backend applications from scratch
• Is not comfortable with long working hours i.e. 10 - 12 hours daily
• Is not comfortable working 5 days a
week from office in Delhi
The Recruitment Process:
1. Aptitude Test: The first step of the recruitment process is a 30-minute basic aptitude test.
2. Technical Assessment Task: This one-hour role specific assessment will be an evaluation of the ‘must have technical skills’ mentioned above.
3. Personal Interviews: 2-3 video interviews. Detailed discussions about the job profile, company & candidature are discussed in these rounds.
4. Extending an offer: On successfully clearing the interview rounds, the job offer is extended to the candidate. This includes financial benefits, ESOPs and many other benefits.
Important Points:
• Office Location- Connaught Place, Delhi
• Work Timings - 9:30 till work gets over. You are considering joining a startup. Building anything of value takes time. The majority of our exits happen within
the first 2 months of people joining because new joiners are not able to adjust to the high pace environment. You can expect 10-12 hours of work in a day!
Looking forward to having you on board with us!
Report this listing
Travclan
AmbitionBox
3.5/5
109 reviews
Glassdoor
3.5/5
364 reviews
travclan.com
More jobs at Travclan
See web results for Travclan
C
Confidential
Data Architect - Annotation
Confidential • New Delhi, Delhi • via Learn4Good
18 hours ago
Full–time
Apply on Learn4Good
Job description
Position: Data Architect - Annotation )
As a Data Architect - Annotation, you'll serve as the critical bridge between the Prompt Engineering team and the Data Labeling team, ensuring that the data feeding our AI systems is clean, consistent, and production-ready. You will own the workflows that generate, organize, and maintain high-quality datasets across multiple modalities, while using LLMs, automation, and statistical analysis to detect anomalies and improve data quality at scale.
Your work will directly influence the reliability of our Voice
AI and AI-driven products by ensuring that labeling pipelines, annotation standards, and evaluation data are robust enough to support high-stakes, real-world restaurant operations.
Essential Job Functions:
Data Operations & Workflow Ownership
Act as the transition point between Prompt Engineering and Data Labeling, translating model and product requirements into concrete data and annotation workflows.
Design, implement, and maintain scalable data workflows for dataset generation, curation, and ongoing maintenance.
Ensure data quality and consistency across labeling projects, with a focus on operational reliability for production AI systems.
Annotation & Quality Management
Create, review, and maintain high-quality annotations across multiple modalities, including text, audio, conversational transcripts, and structured datasets.
Identify labeling inconsistencies, data errors, and edge cases; propose and enforce corrective actions and improvements to annotation standards.
Utilize platforms such as Labelbox, Label Studio, or Langfuse to manage large-scale labeling workflows and enforce consistent task execution.
Automation, Tooling & LLM-Assisted QA
Use Python and SQL for data extraction, validation, transformation, and workflow automation across labeling pipelines.
Leverage LLMs (e.g., GPT-4, Claude, Gemini) for prompt-based quality checks, automated review, and data validation of annotation outputs.
Implement automated QA checks and anomaly-detection mechanisms to scale quality assurance for large datasets.
Analysis, Metrics & Continuous Improvement
Analyze annotation performance metrics and quality trends to surface actionable insights that improve labeling workflows and overall data accuracy.
Apply statistical analysis to detect data anomalies, annotation bias, and quality issues, and partner with stakeholders to mitigate them.
Collaborate with ML and Operations teams to refine labeling guidelines and enhance instructions based on observed patterns and error modes.
Cross-Functional Collaboration & Documentation
Work closely with Prompt Engineering, Data Labeling, and ML teams to ensure that data operations align with model requirements and product goals.
Document data standards, annotation guidelines, and workflow best practices for use by internal teams and external labeling partners.
Requirements
Experience with data annotation and hands-on use of platforms such as Labelbox, Label Studio, or Langfuse for managing large-scale labeling workflows.
Proficiency in Python and SQL for data extraction, validation, and workflow automation in a data operations or data engineering context.
Hands-on experience using LLMs (e.g., GPT-4, Claude, Gemini) for prompt-based quality checks, automated review, and data validation.
Demonstrated experience working with large-scale / high-volume datasets.
At least one prior role where data workflow automation is explicitly part of the job scope or responsibilities.
Ability to perform statistical analysis to detect data anomalies, annotation bias, and quality issues.
Strong requirement-elicitation and communication skills, with a process-driven and detail-oriented mindset when working with cross-functional teams.
Qualifications:
B.S. or higher in a quantitative discipline (Data Science, Computer Science, Engineering, or related field)
5+ years of relevant experience with a B.S. degree, or 3+ years of experience with a Master's degree
Demonstrated proficiency in SQL for reporting and Python for automation and scripting
Academic or applied research experience related to the NLP, LLM Benchmarking dataset is a strong plus
Must be flexible to work during US hours (until at least 1:30 PM EST) for this role.
