SparkAI Hiring for at Remote Full Time

Data Entry Specialist – US Based

SparkAI is looking for Data Entry Specialists to assist with day to day operations for a 5-week contract engagement. The work schedule is highly flexible and you will be able to build your schedule each week by choosing from shifts published on the company’s scheduling platform.

You can anticipate to work fewer than 10 hours per week at times, with a weekly cap on hours set to 20. Scheduling is highly flexible and you are able to add or drop 1-hour shifts at any point up to an hour before the start time of a shift.

Your role will be to inspect a series of images or videos, and provide annotations or answer questions on the content you see. In some instances, you may need to provide labels or comments to the media you are reviewing. You will use a web based application to provide feedback and annotations on images.

In this role, you will remain available to rapidly respond to a high volume of images, with the goal of providing accurate annotations to each image in a timely manner.

As a Data Entry Specialist, you will:

• Analyze pictures, videos, or text and provide commentary, corrections and additional information to the images using the SparkAI application
• Review and provide feedback on a high volume of images within a set window of time
• Provide general feedback to the SparkAI team when applicable
• Train to work on multiple programs for which different labeling criteria will apply

As a Data Entry Specialist, you are:

• Comfortable in a high volume, quick response time environment
• Hyper focused on the details
• Interested in emerging technologies
• Able to learn and adapt on the fly
• Skilled at learning new concepts quickly

Please apply using this link: https://airtable.com/shrYY0LMXGysAWo3L

Job Types: Contract, Temporary

Pay: $15.00 per hour

Schedule:

• Choose your own hours
• Day shift
• Holidays
• Night shift
• On call
• Weekend availability

COVID-19 considerations:
This is a 100% remote opportunity.

Work Location: Remote