Front End Developer
(2+ Years Experience)
  • Collaborate with cross-functional teams to design and develop user-friendly, responsive web applications using Angular.
  • Implement intuitive UX/UI designs that enhance user engagement and satisfaction.
  • Work with APIs to ensure seamless integration of front-end and back-end functionalities.
  • Minimum of 2 years of proven experience as a Front End Developer.
  • Prior experience working with a US-based company, ideally in a similar field.
  • Strong proficiency in Angular framework.
  • Proficiency in HTML, CSS, and JavaScript.
  • Familiarity with interacting with APIs and handling asynchronous operations.
Full Stack Engineer (MEAN)
  • Design and implement scalable and efficient backend solutions in the MEAN stack, ensuring high-quality code and optimal system performance.
  • Collaborate closely with the development team to enhance our AI-powered products, taking ownership of your work and driving projects forward.
  • Analyze and leverage data to derive insights, optimize backend processes, and contribute to continuous improvements.
  • 2-4 years of proven experience as a Backend Engineer, with a strong focus on backend engineering and a desire to explore full-stack development.
  • Proficient in the MEAN stack technologies: MongoDB, Express.js, Angular, and Node.js.
  • Entrepreneurial mindset, a self-starter with a proactive approach to problem-solving, and a drive to create innovative solutions.
FullStack Developer Internship
  • Develop and maintain MEAN stack applications.
  • Work with a team of engineers to design, implement, and test new features.
  • Troubleshoot and debug code.
  • Work with product owners to gather requirements and translate them into technical specifications.
  • Stay up-to-date on the latest trends in web development.
  • Bachelor's degree in Computer Science or a related field.
  • Experience with MEAN stack development.
  • Strong understanding of JavaScript, HTML, CSS, and Node.js.
  • Experience with AngularJS or ReactJS.
  • Problem-solving and debugging skills.
Machine Learning Engineer
  • Summarize research papers from various domains into concise and accessible summaries.
  • Distill complex ideas and technical details into practical use cases.
  • Troubleshoot and debug code.
  • Help industry professionals understand the relevance and potential benefits of research papers.
  • Contribute to a community-driven effort to make research more accessible and applicable.
  • Strong research and analytical skills.
  • Excellent written communication skills.
  • Ability to distill complex concepts into clear and concise summaries.
  • Passion for bridging the gap between research and industry.
  • Familiarity with research platforms like paperswithcode,
Content Writing Intern
  • Executing the content strategy targeted at driving awareness, traffic, engagement, and conversion
  • Writing engaging and grammatically clean content to engage prospects across multiple digital and marketing channels
  • Assisting in the marketing and advertising promotional activities
  • Researching, producing, editing, and publishing new content using keywords or phrases according to SEO best practices
  • Proofreading and editing blog posts before publication
  • Opportunity to work on the latest unconventional best practices in marketing
  • Training and certifications given during the internship
  • Work in a culture of innovative thinking and experiment with new ideas and directly work with the founding team
  • Employee branding for better career visibility

Accelerate Your Career with Labellerr

apply now

What do we do?

At Labellerr, we're not just a team; we're a collective of enthusiastic problem solvers. Our mission is to transform mundane tasks into engaging experiences. With our cutting-edge products, we're redefining automation in a way that turns the mundane into something truly captivating.

Tools and Tech stack at Labellerr 

Elastic search
Google cloud platform
Amazon web services
Why you should work with Labellerr
  • Working in the advanced tech stack, from the very early stage
  • Cutting edge machine learning, computer vision, NLP, generative AI
  • MEAN Stack - all the latest tech and best practices
Learning opportunities
At Labellerr, we believe in continuous learning for all the teams at all the levels. We have in place regular check-ins, flexible learning and development policies for your to upgrade along with the organization.
We are a paced start up and aggressive in our day to day work life but we are a people first team. We believe in high ownership and building great things together
Location of the role
  • Based in the City beautiful - Chandigarh
  • There is a push for quality of life - affordable, breathable, quality of water, air, food, and health!
  • Overall, it's the best of both worlds - Near the mountains, modern enough, well connected by rail, air, roads.
  • Our CEO and even team members go to the office via bike or walk through lush green lanes. What are you looking to live for?
office location.
SCO 301-302, 35B, Sector 35, Chandigarh, 160035
Amidst the calm and pace, we are based out in the City Beautiful
Chandigarh bringing out the best of the both worlds for you
Deep Learning Engineer
Front End Developer
(2+ Years Experience)
Full Stack Engineer (MEAN)
Machine Learning Engineer Internship
Content Writing Intern
FullStack Developer

Is Labellerr the Perfect Fit for You?

If you're someone who thrives on turning challenges into exciting solutions, Labellerr is your playground. We're seeking individuals who possess not only self-motivation but also possess a visionary mindset. Someone who finds joy in small victories along the way while striving to achieve monumental feats.

Are you ready to be part of a team that's crafting excellence through innovation? Join us in making remarkable things happen!
Ready to embark on an exciting journey with us? Explore our open positions and be part of a team that's redefining the landscape of technology.
Who we work with

There's a reason we have amazing clients.

We're building a platform to help ML teams across the industry to build computer vision AI to solve real world business problems.
We've built a training data platform that works as a single platform to create training data, manage the quality and build high performing models in iteratative fashion with ease.

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Making AI journey simple!