Entry Level AI Projects - English (United States)

Remote
AI Services – Data Annotation /
Freelance-Remote /
Remote
OVERVIEW 
 
Eager to delve into the world of AI? We're looking for quality-focused, tech-savvy freelancers for our AI Data Management projects. Join us for a unique chance to kickstart your career in the AI field! 
 
This project is an excellent starting point for entry-level candidates. We offer comprehensive learning support, making it a great opportunity to gain experience in data annotation and data rating within the AI field—an industry currently in high demand for skilled specialists, especially those with expertise in localization and linguistic proficiency. 
 
MAIN DUTIES 
 
- Engage in diverse tasks and projects related to data management, which may vary depending on the project's requirements and objectives 
- Follow project-specific guidelines to conduct research  
- Perform data annotation and data rating tasks, playing a key role in the training and improvement of AI models 
- Partake in training sessions and workshops to enhance your skills and knowledge 
- Collaborate with teams to ensure data accuracy and quality 
 
Project Details 
 
Schedule: 5-15 hours weekly; set your own schedule 
This is a freelance opportunity; the workload is based on project needs. Weekly hours may vary. 
Employment Type: Freelance
Location: Remote 
Language: English (United States) 
Pay Rate: $16/hour 
 
By applying, you'll become part of our Freelance community, opening doors to a range of projects tailored to your skills and availability, particularly highlighting localization and linguistic expertise. 
 
Payment rates for future projects may vary, ensuring fair compensation that reflects your location, industry, and skill set. 
 
Joining us means contributing to our current project and becoming part of our dynamic network. 
 
This is a unique chance to enhance global user experiences and apply your language skills in meaningful ways. 

Requirements

    • Fully Proficient in English (US)
    • Linguistic competency in target language equal to the following: ILR Level 5 or CEF C2
    • Must be located in the United States
    • Web-savvy and able to work in a fast-paced environment
    • Preferably previous experience in Search Relevance tasks, experience with e-commerce searches/websites 
    • Excellent online research skills
    • Attention to detail
    • Performing enough research during allocated time, working within short throughputs 
    • Reliable computer system and internet connection
    • Ability to follow instructions in English and comply with the project conventions and rules expected by the client
    • Must sign a Non-Disclosure Agreement to protect client confidentiality
    • Must pass training and a required quality test before starting work
When you join Welocalize, you have the opportunity to bring your career to the next level:
... receive steady volume of work and long-term partnership {where this applies} 
... professional development: work on exciting projects that will empower you keep learning and growing
... work with multicultural, international team with a great variety of documents and content types  
... 24-hour 6-day a week support from our Community team.

If this opportunity sounds appealing to you, apply below. 

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com