Responsibilities
- Annotate and validate data for machine learning models.
- Ensure data quality and accuracy.
- Collaborate with the team to improve data processes.
- Contribute to the development of data annotation tools.
- Participate in the creation of data guidelines and standards.
- Work on projects related to natural language processing and computer vision.
- Provide feedback on data annotation tools and processes.
- Maintain detailed records of data annotation activities.
- Assist in the training of new team members on data annotation tasks.
- Monitor and report on data annotation progress and metrics.
- Identify and resolve data annotation issues and discrepancies.
- Ensure compliance with data privacy and security standards.
- Collaborate with cross-functional teams to integrate data annotation into AI models.
- Stay updated with the latest trends and best practices in data annotation.
- Participate in regular team meetings and project reviews.
- Contribute to the continuous improvement of data annotation workflows.
- Provide support for data annotation tools and technologies.
- Assist in the development of data annotation training materials.
- Work on projects that require multilingual data annotation.
- Ensure the consistency and coherence of annotated data.
- Collaborate with stakeholders to understand data annotation requirements.
- Provide regular updates on data annotation progress and challenges.
- Participate in the evaluation and selection of data annotation tools.
Nice to Have
- Experience with AI and machine learning projects.
- Familiarity with data annotation for natural language processing.
- Knowledge of data annotation tools and platforms.
- Experience with data validation and quality assurance.
- Ability to work on multilingual data annotation projects.
- Familiarity with data annotation guidelines and standards.
- Experience with data annotation for computer vision.
- Knowledge of data privacy and security standards.
- Ability to contribute to the development of data annotation tools.
- Experience with data annotation for AI and machine learning models.
- Familiarity with machine learning models and algorithms.
- Ability to manage multiple projects and priorities.
- Experience in a remote work setting.
- Strong problem-solving and analytical skills.
- Ability to adapt to new tools and technologies.
- Experience with data annotation tools and technologies.
- Familiarity with data annotation best practices.
- Ability to provide clear and concise feedback.
- Experience in training and mentoring team members.
- Knowledge of data annotation for natural language processing and computer vision.
Compensation
Competitive salary
Work Arrangement
Remote
Team
Collaborate with a global team of AI experts and data scientists.
About the Role
- This role involves annotating and validating data for machine learning models, ensuring data quality and accuracy, and collaborating with the team to improve data processes.
- The ideal candidate will have experience in data annotation and machine learning, with a strong attention to detail and excellent communication skills.
- This is a remote position, and the candidate must be fluent in Spanish and based in Colombia.
What You'll Do
- Annotate and validate data for machine learning models, ensuring data quality and accuracy.
- Collaborate with the team to improve data processes and contribute to the development of data annotation tools.
- Participate in the creation of data guidelines and standards, and provide feedback on data annotation tools and processes.
What You'll Need
- Proficient in Spanish language and experience in data annotation and machine learning.
- Familiarity with natural language processing and computer vision, and strong attention to detail and accuracy.
- Excellent communication and collaboration skills, and the ability to work independently and in a team environment.
Nice to Have
- Experience with AI and machine learning projects, and familiarity with data annotation for natural language processing.
- Knowledge of data annotation tools and platforms, and experience with data validation and quality assurance.
- Ability to work on multilingual data annotation projects, and familiarity with data annotation guidelines and standards.
Our Team
You will be part of a global team of AI experts and data scientists, collaborating on innovative projects and contributing to the development of cutting-edge technologies.
Our Culture
We value diversity, inclusion, and continuous learning, and we are committed to creating a supportive and collaborative work environment.
How to Apply
If you are passionate about data annotation and machine learning, and you meet the qualifications, we encourage you to apply and join our team.
Equal Opportunity Employer
We are an equal opportunity employer and welcome applicants from all backgrounds. We do not discriminate based on race, color, religion, sex, national origin, age, disability, or any other protected characteristic.
Benefits
We offer a competitive salary, remote work flexibility, and opportunities for professional growth and development.
Next Steps
If you are selected for an interview, you will be contacted by our recruitment team to schedule a time that works for you.
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