At Aftershoot we re building a global community of photographers who spend less time behind their screens and more time behind the lens Every feature we create every update we ship is designed to make post-processing easier faster and smarter for photographers around the world From culling to editing to retouching Our AI tools do all the heavy lifting so photographers can focus on what they do best capturing moments telling stories and creating magic We re a fast-growing passionate team backed over 100K active users globally Double-digit ARR in less than 4 years amazing investors and team who truly believe in our mission Our mission is clear Become the default companion for every photographer in the world If you care deeply about building meaningful products working with curious and driven teammates and being part of a team that genuinely loves what they do we d love to meet you Let s create the future of AI in photography together About the Role This role sits at the heart of how our AI learns You will own how training and test data is labelled validated and structured for multiple culling-related use cases A big part of your work will involve collaborating closely with external labelling vendors reviewing their output improving quality standards and making sure our datasets are reliable consistent and scalable If you have a strong eye for photography understand image quality intuitively and enjoy bringing structure and rigour to visual data this role is for you What you ll do Labelling image data for different culling use cases such as blur detection closed eyes and selection quality Validating and performing QA on data labelled by external vendors Working closely with vendors to iterate on guidelines and continuously improve label quality acrosstraining and test datasets Defining and maintaining clear labelling standards and documentation Ensuring datasets and labels are stored and maintained in well defined consistent structures Flagging edge cases inconsistencies and gaps in data that could impact model performance Collaborating with ML and product teams to align labelling outputs with real product needs What You ll Bring Skilled photography experience is highly preferred Strong understanding of image quality focus expressions and real world photography workflows High attention to detail and comfort working with large volumes of visual data Experience with data annotation QA or labelling workflows is a plus Ability to give clear actionable feedback to vendors and partners Comfortable working from the Delhi office on a full time basis What You ll Gain Hands-on experience building growth marketing strategies in a real startup Exposure to data analytics and campaign execution across paid and organic channels Mentorship from experienced growth professionals Opportunity to contribute measurable impact to company growth success Prior experience working with computer vision or ML teams Familiarity with culling workflows used by photographers Experience creating or improving annotation guideline What happens after you apply Step 1 If your profile aligns with our vibe and requirements for the role our people team will reach out to you for a brief phone call Step 2 If everything aligns your next chat will be with one of your future team members to better understand the role and your experience Step 3 You will then be given a task - this helps us evaluate your thought process and help you showcase your expertise Step 4 If everything goes well you will meet the leadership for a quick bar-raiser round Step 5 If you do manage to clear all rounds this is the point we make an offer shake hands and welcome you to the team

📌 Data Labelling And Qa Specialist (computer Vision) (New Delhi)
🏢 Aftershoot
📍 New Delhi