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Fuzu Remote Talent Pool
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2D Data Labeller
Remote, Kenya
Closing: May 22, 2024
7 days remainingPublished: May 14, 2024 (1 day ago)
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Job Summary
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We are currently seeking a skilled and detail-oriented individual to join our team as a Remote Data Labeler for a short-term project. The person will work with one of our clients for a short period of time.
Position Overview:
As a Remote Data Labeler specializing in 2D imaging, you will play a crucial role in our data annotation process. Your primary responsibility will be to accurately label and annotate 2D images according to the provided guidelines and instructions.
This role requires meticulous attention to detail and a keen eye for patterns and structures within images.
This role requires one have to a great internet connection of at least 15MBPS and a personal laptop with a Core i5 and above and atleast 8GB of memory
Responsibilities
We are currently seeking a skilled and detail-oriented individual to join our team as a Remote Data Labeler for a short-term project. The person will work with one of our clients for a short period of time.
Position Overview:
As a Remote Data Labeler specializing in 2D imaging, you will play a crucial role in our data annotation process. Your primary responsibility will be to accurately label and annotate 2D images according to the provided guidelines and instructions.
This role requires meticulous attention to detail and a keen eye for patterns and structures within images.
This role requires one have to a great internet connection of at least 15MBPS and a personal laptop with a Core i5 and above and atleast 8GB of memory
Reviewing and understanding annotation guidelines and instructions provided by the project lead.
Analyzing and annotating 2D images based on specified criteria, such as object detection, segmentation, classification, etc.
Ensuring accuracy and consistency in labeling across all assigned tasks.
Communicating effectively with project leads or managers to clarify doubts or seek clarification on labeling tasks.
Meeting project deadlines and quality standards for annotated data.
Requirements:
Proven experience with data labeling or annotation tasks, particularly in the context of 2D imaging.
Familiarity with annotation tools and software (e.g., LabelImg, LabelMe, etc.).
Strong attention to detail and ability to maintain high levels of accuracy in labeling tasks.
Ability to follow guidelines and instructions precisely.
Good communication skills and ability to collaborate effectively in a remote team environment.
Self-motivated and capable of working independently with minimal supervision.
Comfortable with remote work setups and proficient in using communication and collaboration tools (e.g., Slack, Zoom, etc.).
Nice-to-Have:
Previous experience or knowledge in computer vision, machine learning, or related fields.
Experience with image processing techniques or tools.
Duration and Compensation:
This is a short-term remote contract position for a duration of one month, with the possibility of extension based on project requirements and performance.
One should be available to start immediately
Compensation will be commensurate with experience and skills.
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