
Remote AI Training iOS Developer—Flexible Schedule
DataAnnotationRole Overview
DataAnnotation is hiring a mid-level Remote AI Training iOS Developer—Flexible Schedule. This is a full-time remote role, with the team based in Washington. Part of DataAnnotation's Mobile hiring. The posted range is $80k to $100k. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
A dynamic tech company is seeking proficient programmers to contribute to innovative AI development. This is a fully remote position, allowing professionals to set their own schedules and choose projects that align with their availability. Candidates should be fluent in English and have preferred experience in Kotlin, along with proficiency in other programming languages. Compensation is competitive, with projects paying up to $60 per hour based on performance, offering an exciting opportunity to shape the future of AI technology.
Frequently Asked Questions
How do I apply for the Remote AI Training iOS Developer—Flexible Schedule position at DataAnnotation?
Use the Apply button above to submit your application directly to DataAnnotation. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Is the Remote AI Training iOS Developer—Flexible Schedule role at DataAnnotation remote?
Yes. This is a remote role. The team is based in Washington, but the position itself does not require relocating to that office.
How much does the Remote AI Training iOS Developer—Flexible Schedule role at DataAnnotation pay?
DataAnnotation has posted a compensation range of $80k to $100k for this position. Final offers typically vary based on candidate experience, location, and internal salary bands.
When was the Remote AI Training iOS Developer—Flexible Schedule role at DataAnnotation posted?
This role was posted on April 4, 2026 (65 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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