Data Associate Jobs in Bangalore - TartanSense
Job Description
Position overview:
- A Data Associate is required to support our Machine Learning team by collecting data at the field level, classifying images, annotating data, providing feedback to improve processing tools and new features and data management.
- In addition to daily responsibilities, a Data Associate is expected to keep up-to-date with company developments and have a good understanding of our product.
- In order to be successful as a Data Associate at TartanSense, you should have the ability to:
- juggle between working independently at the field level whilst coordinating with the Product Development Lead, as well as out of our Corporate office as a part of a fast-paced team
- handle unique data requests and tasks, with changing conventions
- implement feedback, learn quickly, and contribute new ideas
- deliver high quality data under deadlines
- travel between field locations and the Corporate office as and when there is a requirement
- maintain strict confidentiality and following all applicable company policies for securing confidential information
- Display general concern for the well-being of people and the desire to work on problems that maximize a positive future for the farming community
- Qualifications: A degree in BSc/ BTech Agriculture
- Basic Computer Skills
- Proficiency in English and Hindi
- Prior work experience in data annotation is an added bonus
- We are looking for highly motivated individuals who are seeking a challenging work environment.
- If you are interested in adding additional value to our team, please apply and we will be in touch.
Job Particulars
Role others
Who can apply Freshers and Experienced (0 to 1 Years )
Hiring Process Written-test, Face to Face Interview, Telephonic Interview
Employment TypeFull Time
Job Id611330
Job Category Others
Locality Address
State Karnataka
Country India
About Company
TartanSense is a Bangalore based agriculture robotics company that is looking at building robots for small farms leveraging AI-assisted computer vision to build precision sprayers for weeds.
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