Search Relevance Analyst - Remote, USA
WORK LOCATION: Remote, USA
WORK SCHEDULE: Mon - Fri, business core hours, weekend flexibility required
JOB STATUS: Full-time, temporary.
START DATE: ASAP
PROJECT DURATION: 12 months, possibility of extension
COMPENSATION: $16.00 per hour
Objective:
You will be responsible for validating the quality, safety, and relevance of keywords used for search recommendations. You will actually help meet a user’s search needs by building a model that provides searchable keywords that will help you explore more related content.
Primary Responsibilities:
• Annotate and label data in the target language to support machine learning and artificial intelligence projects
• Evaluate social media content/videos to ensure the adherence to guidelines of the uploaded content
• Evaluate and improve the quality of annotated data
• Collaborate with a team of annotators
• Adhere to project guidelines and deadlines
• Experience in annotation or a related field is a plus
Minimum Qualifications:
• Avid social media user - familiar with trends
• Able to work in a dynamic and fast paced environment
• Able to understand complex guidelines and follow them
• Interested in AI/Machine learning
• Fast internet connection
• Updated hardware with latest OS
• C2/ Native English
Equal Opportunity Employer
At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence, and performance.
TELUS Digital will never ask for any monetary deposit, credit card information, or bank account information to complete a job application. When emailing candidates, our recruitment and sourcing teams only use email addresses that end with telusdigital.com or telusdigital.ai. If you are unsure whether a job offer is legitimate or suspect that TELUS Digital's business name is being used for recruitment fraud, please report this immediately to our Talent Acquisition Team at [email protected].
Apply Now
Apply Now
WORK SCHEDULE: Mon - Fri, business core hours, weekend flexibility required
JOB STATUS: Full-time, temporary.
START DATE: ASAP
PROJECT DURATION: 12 months, possibility of extension
COMPENSATION: $16.00 per hour
Objective:
You will be responsible for validating the quality, safety, and relevance of keywords used for search recommendations. You will actually help meet a user’s search needs by building a model that provides searchable keywords that will help you explore more related content.
Primary Responsibilities:
• Annotate and label data in the target language to support machine learning and artificial intelligence projects
• Evaluate social media content/videos to ensure the adherence to guidelines of the uploaded content
• Evaluate and improve the quality of annotated data
• Collaborate with a team of annotators
• Adhere to project guidelines and deadlines
• Experience in annotation or a related field is a plus
Minimum Qualifications:
• Avid social media user - familiar with trends
• Able to work in a dynamic and fast paced environment
• Able to understand complex guidelines and follow them
• Interested in AI/Machine learning
• Fast internet connection
• Updated hardware with latest OS
• C2/ Native English
Equal Opportunity Employer
At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence, and performance.
TELUS Digital will never ask for any monetary deposit, credit card information, or bank account information to complete a job application. When emailing candidates, our recruitment and sourcing teams only use email addresses that end with telusdigital.com or telusdigital.ai. If you are unsure whether a job offer is legitimate or suspect that TELUS Digital's business name is being used for recruitment fraud, please report this immediately to our Talent Acquisition Team at [email protected].
Apply Now
Apply Now