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Junior Data Annotator - Freelance job at Mindrift | Apply Now
Kampala, Uganda
Mindrift is a pioneering platform dedicated to advancing artificial intelligence by connecting subject matter experts with collaborative online projects that generate high-quality data for training generative AI models. Founded by Toloka, a leading data partner in machine learning since 2014, Mindrift benefits from its parent company's expertise in data generation, crowd technology, and machine learning, setting new standards in generative AI.
With a global community of over 6,000 AI Tutors spanning more than 70 countries, Mindrift offers flexible, remote opportunities for professionals—including writers, editors, educators, and domain specialists—to contribute to AI development without requiring technical expertise. The platform fosters a collaborative work culture that values innovation, integrity, and inclusivity, providing contributors with the chance to impact the future of AI while working on their own schedules.
Mindrift's business model emphasizes the ethical and accurate development of AI by leveraging collective human intelligence to create and refine content, ensuring AI models are trustworthy and relevant across various fields. Committed to corporate social responsibility, Mindrift focuses on democratizing access to AI development opportunities and promoting responsible AI practices. For more information, visit their website at www.mindrift.ai.
Are you looking for Information Technology Jobs in Uganda 2024? If yes, then you might be interested in Junior Data Annotator - Freelance job at Mindrift
Full-time
Deadline:
10 May 2024
Junior Data Annotator - Freelance job at Mindrift
Mindrift
Job Description
Duties, Roles and Responsibilities
Qualifications, Education and Competencies
Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling. Annotation Experts are not just regular performers; they are meticulous specialists ensuring the highest quality of data markup. As AI continues its upward trajectory, these experts lay the groundwork, paving the way for more reliable, responsible AI models.
See all details of the qualifications, competencies and education for this role under the "How to Apply" section below.
Find application details and links on the AfriCareers Jobs Portal:
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Click the Apply button below
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Go to the "Jobs" tab
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Read the detailed job description, Roles and Qualifications.
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Quality assurance: review and verify the work done by regular performers; suggest improvements for better annotation quality
Instructional guidance: formulate clear, effective task instructions for Tolokers
Training creation: develop training tasks that guide Tolokers towards excellence
Has great command of English: advanced (C1) / proficiency (C2) / native level
Has a keen eye for detail: precision is paramount in data labeling
Is a dedicated performer who recognizes the importance of even routine tasks
Be part of a significant project for a leading technology company, making a substantial impact on the future of AI
Enjoy the flexibility of a part-time, remote role that accommodates your schedule
Try your hand at an AI project and enrich your portfolio with new experiences


SERVICES
COMMERCIAL

SERVICES
INDUSTRIAL

SERVICES
RESIDENTIAL
While a bachelor's degree in a related field such as computer science, information technology, mathematics, or statistics is beneficial, it may not always be required, especially for entry-level positions. Relevant coursework or certifications in data science, machine learning, or data annotation techniques can also be valuable.
Skills:
Attention to detail: Annotating data requires meticulous attention to detail to ensure accuracy and consistency.
Familiarity with annotation tools: Experience with data annotation tools such as Labelbox, Supervisely, or COCO Annotator is often preferred.
Basic understanding of data formats: Knowledge of common data formats such as JSON, XML, or CSV is helpful for working with annotated data.
Proficiency in English: Clear communication skills in English are essential for understanding annotation instructions and communicating with clients or team members.
Time management: Ability to manage workload and meet deadlines, especially in a freelance setting where you may juggle multiple projects simultaneously.
Problem-solving skills: Capacity to troubleshoot issues related to data annotation tasks and identify solutions independently.
APPLICATION FOR THIS POSITION MUST BE DONE ONLINE:
Are you interested? Click the "APPLY" button below to submit your application.


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