Employee Type: Full-time or Part-time Location: Remote Start Date: ASAP Who is Crescer AI? Crescer AI is a fast-moving startup reshaping the geospatial industry through cutting-edge artificial intelligence. Our team includes alumni from Google, NASA, Amazon, and Ford, and we’re building breakthrough AI tools for organizations working in defense, government, and industry. We’re based out of San Francisco — the epicenter of startup and AI innovation — giving our team access to the heart of global tech momentum. At the same time, our footprint spans the US, Europe, and Asia, offering a unique opportunity to experience how business is done across markets and cultures. The Role We're looking for a resourceful and self-driven Outreach and Growth Associate to take our outreach game to the next level. You’ll be the engine behind our first customer connections, getting our product in front of decision-makers and opening doors to conversations that matter. This is an opportunity to join an early-stage company and make your mark in a space where deep tech meets global impact. What You'll Do Launch and manage outbound campaigns across LinkedIn, email, and other platforms Follow ready-made outreach workflows, while optimizing them through experimentation and feedback Connect with potential leads, start conversations, and book meetings for the core team Track engagement and refine outreach strategies Collaborate with the founders to test new go-to-market angles and messaging tactics What We're Looking For Someone who thrives on execution — you love ticking things off a list, running experiments, and getting results Experience with outbound outreach (via email, LinkedIn, etc.) or strong motivation to learn fast Excellent English writing and communication skills Basic knowledge of tools like LinkedIn and email automation platforms (or willingness to learn quickly) High attention to detail and the ability to juggle multiple conversations and tasks Proactive, independent, and not afraid to take initiative Bonus if you’ve worked in early-stage startups, SaaS, or B2B environments — but not required. What We Offer A fully remote role with flexible working hours The chance to work directly with the founders and shape early growth strategies A front-row seat to how a deep tech startup scales from zero to one A collaborative, no-hierarchy team spread across multiple time zones Exposure to global markets — work with customers and teams across the US, Europe, India, and the Middle East. Job Types: Full-time, Part-time Pay: From ₹250.00 per hour Expected hours: No less than 10 per week Application Question(s): What experience or skills make you a good fit for this role? Please share one example of how you’ve helped spark growth (or what you’d try first if given this job). Application Deadline: 20/08/2025
Role: Point Cloud Labeler Employee type: Full-time or Part Time Location: Remote Start date: ASAP Compensation: Competitive salary Who is Crescer AI? Crescer AI is an advanced technology consultancy geared towards helping enterprises solve intractable problems using AI. Our team has worked at high impact companies including the likes of Google, NASA, Amazon, Deloitte, and Ford, where we developed a unique set of expertise in applied artificial intelligence, deep learning, and product development. Description We are seeking a detail-oriented Point Cloud Labeler to join our team. In this role, you will assess, validate, and correct point cloud data using our proprietary technology. Your work will directly contribute to training deep learning models for GIS applications. Key Responsibilities: Analyze and label 3D point cloud data with high precision and accuracy Validate existing labels and make corrections where necessary Follow established workflows and quality standards for data annotation Collaborate with machine learning engineers to improve data quality Document issues and suggest improvements to the labeling process Qualifications (required): Strong communication skills (English) Strong spatial reasoning and attention to detail Ability to follow detailed technical instructions Comfortable collaborating with international teams (USA) including availability for either early morning or late night meetings. Qualifications (preferred): Experience with 3D data visualization tools or point cloud labeling software (preferred) Basic understanding of GIS concepts and geospatial data Comfortable working in a technical environment with evolving requirements This position offers the opportunity to work with cutting-edge technology while contributing to advancements in GIS and deep learning applications. We offer opportunities for growth within the company based on interest and performance. Compensation rates may vary depending on work availability and experience. Application Instructions Join us and play a critical role in the development of AI solutions and products for enterprise. Please use the indeed portal to complete your application. Website: Job Types: Full-time, Part-time, Contractual / Temporary, Freelance Pay: ₹10,000.00 - ₹42,000.00 per month
Role: Point Cloud Labeler Employee type: Full-time or Part Time Location: Remote Start date: ASAP Compensation: Competitive salary Who is Crescer AI? Crescer AI is an advanced technology consultancy geared towards helping enterprises solve intractable problems using AI. Our team has worked at high impact companies including the likes of Google, NASA, Amazon, Deloitte, and Ford, where we developed a unique set of expertise in applied artificial intelligence, deep learning, and product development. Description We are seeking a detail-oriented Point Cloud Labeler to join our team. In this role, you will assess, validate, and correct point cloud data using our proprietary technology. Your work will directly contribute to training deep learning models for GIS applications. Key Responsibilities: Analyze and label 3D point cloud data with high precision and accuracy Validate existing labels and make corrections where necessary Follow established workflows and quality standards for data annotation Collaborate with machine learning engineers to improve data quality Document issues and suggest improvements to the labeling process Qualifications (required): Strong communication skills (English) Strong spatial reasoning and attention to detail Ability to follow detailed technical instructions Comfortable collaborating with international teams (USA) including availability for either early morning or late night meetings. Qualifications (preferred): Experience with 3D data visualization tools or point cloud labeling software (preferred) Basic understanding of GIS concepts and geospatial data Comfortable working in a technical environment with evolving requirements This position offers the opportunity to work with cutting-edge technology while contributing to advancements in GIS and deep learning applications. We offer opportunities for growth within the company based on interest and performance. Compensation rates may vary depending on work availability and experience. Application Instructions Join us and play a critical role in the development of AI solutions and products for enterprise. Please use the indeed portal to complete your application. Website: Job Types: Full-time, Part-time, Contractual / Temporary, Freelance Pay: ₹10,000.00 - ₹42,000.00 per month