About Posha

Posha builds cooking robots that live inside your kitchen and cook food for you completely autonomously. Our robots use AI-enabled Computer Vision to consistently and reliably cook the best food for our users 🥘

See it in action: https://bit.ly/hownymbleworks

Posha is a fast-growing Series-A funded startup backed by Tier-1 VCs 💙 including Accel Partners and Waterbridge Ventures. We are one of the rare startups building cutting-edge deep tech consumer robotic products from India for the world, solving for everyday eating.

What will my work responsibilities look like if I join Posha?

In this role - you would:

• Monitor ML Model Health: Perform system health checks on deployed machine learning models, identifying data quality issues, annotation drift, or labeling inconsistencies that impact model performance.

• Quality Assurance & Validation: Validate annotations delivered by external labeling companies, ensuring complete alignment with our objectives for ingredient detection, cooking state tracking, and other vision tasks.

• Create Annotation Guidelines: Write clear, comprehensive annotation guidelines for new tasks (e.g., segmentation masks for vegetables, bounding boxes for ingredient identification, classification labels for cooking stages) that can be shared with labelling partners.

• Hands-on Collaboration: Work directly with the labelling company on initial batches of images to establish shared understanding, calibrate quality standards, and iron out edge cases before scaling.

• Iterative Refinement: Refine annotation rules and guidelines based on ongoing feedback from the ML team and labelling company - creating a continuous improvement loop for data quality.

• Cross-functional Pipeline Management: Actively collaborate with the kitchen-ops team to understand upcoming annotation needs, prioritise tasks, and build an efficient pipeline to get relevant cooking data annotated on time.

What makes you a match for us?

• Bachelor's degree

• 2-5 years of experience in data annotation, ML operations, or Computer Vision projects

• Strong attention to detail with the ability to spot inconsistencies in labeled data

• Basic understanding of computer vision concepts (object detection, segmentation, classification)

• Familiarity with annotation tools (e.g., CVAT, Label Studio, V7, Supervisely) is a plus

• Excellent written and verbal communication skills for creating guidelines and coordinating with external teams

• Comfortable working in an ambiguous, fast-paced startup environment where you'll need to define processes from scratch

• Passionate about quality and willing to dive deep into edge cases

• Bonus: Understanding of how ML models are trained and deployed

🚀 What The World Thinks of Posha

• Posha is comparable to Tesla FSD

• “Posha is a fairly good sign that the future is closer than I thought” - The Verge

• Posha’s tagline is “See dinner cook itself, and it largely lives up to this.” - WIRED

Posha is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.