Remote Ai Data Trainer information
See Bothell, WA salary details
$15.05 - $20.15
18% of jobs
$23.60 is the 25th percentile. Wages below this are outliers.
$20.15 - $25.26
11% of jobs
$25.26 - $30.37
9% of jobs
The median wage is $33.16 / hr.
$30.37 - $35.47
22% of jobs
$38.94 is the 75th percentile. Wages above this are outliers.
$35.47 - $40.58
22% of jobs
$40.58 - $45.68
7% of jobs
$45.68 - $50.79
7% of jobs
$50.79 - $55.89
2% of jobs
$66.11 - $71.21
1% of jobs
How much do remote ai data trainer jobs pay per hour?
As of Aug 14, 2026, the average hourly pay for remote ai data trainer in Bothell, WA is $34.93, according to ZipRecruiter salary data. Most workers in this role earn between $22.31 and $39.76 per hour, depending on experience, location, and employer.
To thrive as a Remote AI Data Trainer, you need strong analytical skills, attention to detail, and experience in data annotation or evaluation, often supported by a background in computer science, linguistics, or a related field. Familiarity with data labeling platforms, AI training tools, and sometimes programming languages like Python is typically required. Excellent communication, self-motivation, and the ability to work independently are key soft skills for remote collaboration and consistent performance. These skills ensure high-quality data preparation, accurate AI model training, and effective teamwork in distributed environments.
A Remote AI Data Trainer is a professional who works from a remote location to help train artificial intelligence systems by preparing, labeling, and reviewing data sets. This role often involves annotating images, text, audio, or video to ensure AI models learn correctly from quality data. Remote AI Data Trainers may also evaluate the performance of AI outputs and provide feedback for improvements. They typically work with machine learning engineers and data scientists to support the development of accurate and ethical AI systems.
Remote AI Data Trainers often work with datasets that vary greatly in structure, quality, and subject matter. One common challenge is ensuring consistency and accuracy while annotating or labeling data, especially when guidelines are complex or ambiguous. Additionally, working remotely requires strong communication skills to collaborate effectively with data scientists, project managers, and other trainers. Staying organized and managing time efficiently are crucial since trainers might juggle multiple projects or deadlines. Regular feedback sessions and adherence to detailed documentation help overcome these challenges and maintain high-quality output.
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