Aya Data Calls For Job Applications
ROLE: Data Specialist
Company Description
We are Aya Data, and we provide data labeling services to firms working on machine learning (ML) projects so that their ML models may be trained. Artificial Intelligence learns from visual and text input in the same way as humans learn through sight and reading. The more data with which it interacts, the better it can do its purpose. However, before AI can be trained, this data must be properly prepared (labeled).
Position Description
What exactly are we looking for?
We are searching for bright, enthusiastic applicants to join our Data Specialist team. The Data Specialist’s job is to organize and organize data sets so that they can be used to train
Artificial Intelligence.
- You will work directly with Aya Data’s Quality Assurance Leads, Team Leads, and Operations Managers to provide exceptional support to our international clients.
- Our organization’s advancement chances are apparent, with successful personnel growing their compensation, responsibilities, and the opportunity to learn about Data Science.
What will you be working on?
- Data extraction, collection, and analysis in a variety of formats (Video/Text/Numeric/Audio)
- Labeling data on software accurately
- Organizing your time effectively in order to meet deadlines
- Web-based research to construct data sets
- Data cleansing (deduplication, mistake detection, ad repair, formatting, and organizing)
- Data security and confidentiality management
Required Qualifications or Experience
- A bachelor’s degree in information management, data analytics, computer science, or a closely related discipline is required.
- 3+ years of data expert experience required.
- Capability to read, understand, and validate data in a variety of formats.
- Expertise in data retrieval and storage technologies.
- Ability to work on assignments autonomously.
- Understanding of computer hardware and peripherals.
- Outstanding communication and report-writing abilities.
- Excellent analytical and problem-solving abilities.
- End-user training and support experience is preferred.
How we collaborate with you: We at Aya live what we preach. You’ll be doing some of the most important work of your career, and we’ll take care of the tedious details.
Salary competitive: Flexible working hours – we take life-work balance seriously and will do everything we can to accommodate it. Every year, you must take at least 20 days off.
How to Apply for this Aya Data Job
Closing Date: 2nd October, 2023
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