... machine learning and artificial intelligence. Kaya offers a collaborative environment where ... S. English speakers to join a short-term remote project helping train AI language systems. Your ...
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... machine learning and artificial intelligence. Kaya offers a collaborative environment where ... S. English speakers to join a short-term remote project helping train AI language systems. Your ...
... machine learning and artificial intelligence. Kaya offers a collaborative environment where ... S. English speakers to join a short-term remote project helping train AI language systems. Your ...
... machine learning and artificial intelligence. Kaya offers a collaborative environment where ... S. English speakers to join a short-term remote project helping train AI language systems. Your ...
Data Analyst - Sr
Paris, IL · On-site +1
$81K - $113K/yr
Experience collaborating with cross-functional teams (e.g., engineers, business analysts ... Experience with virtualization/fabric data architectures, forecasting tools and AI/machine learning ...
Data Analyst - Sr
Paris, IL · On-site +1
$81K - $113K/yr
Experience collaborating with cross-functional teams (e.g., engineers, business analysts ... Experience with virtualization/fabric data architectures, forecasting tools and AI/machine learning ...
Sales Representative
Terre Haute, IN · On-site +1
The role is based in Midwest, United States (remote). We are also looking for this candidate to be ... Bachelor's degree in Engineering, Science, or a related technical field * Experience in sales ...
Sales Representative
Terre Haute, IN · On-site +1
The role is based in Midwest, United States (remote). We are also looking for this candidate to be ... Bachelor's degree in Engineering, Science, or a related technical field * Experience in sales ...
Sales Representative
Terre Haute, IN · On-site +1
The role is based in Midwest, United States (remote). We are also looking for this candidate to be ... Bachelor's degree in Engineering, Science, or a related technical field * Experience in a sales ...
Sales Representative
Terre Haute, IN · On-site +1
The role is based in Midwest, United States (remote). We are also looking for this candidate to be ... Bachelor's degree in Engineering, Science, or a related technical field * Experience in a sales ...
Remote Machine Learning Engineer information
See Terre Haute, IN salary details
$30K - $44K
1% of jobs
$44K - $58K
1% of jobs
$58K - $72K
5% of jobs
$72K - $86K
6% of jobs
$97.6K is the 25th percentile. Wages below this are outliers.
$86K - $100K
14% of jobs
$100K - $114K
14% of jobs
The median wage is $121K / yr.
$114K - $128K
18% of jobs
$128K - $142K
14% of jobs
$144.9K is the 75th percentile. Wages above this are outliers.
$142K - $156K
12% of jobs
$156K - $170K
11% of jobs
$170K - $184K
5% of jobs
$30K
$122.5K
$184K
How much do remote machine learning engineer jobs pay per year?
As of Jul 26, 2026, the average yearly pay for remote machine learning engineer in Terre Haute, IN is $122,469.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $147,400.00 per year, depending on experience, location, and employer.
What engineers make $300,000 a year?
Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.
What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?
Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.
What engineers make $500,000?
Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.
Will MLE be replaced by AI?
Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.
What are the key skills and qualifications needed to thrive in the Remote Machine Learning Engineer position, and why are they important?
To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.
What is a Remote Machine Learning Engineer job?
A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.
Can ML engineers work remotely?
Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
What are the most commonly searched types of Machine Learning Engineer jobs in Terre Haute, IN? The most popular types of Machine Learning Engineer jobs in Terre Haute, IN are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Terre Haute, IN? For Remote Machine Learning Engineer jobs in Terre Haute, IN, the most frequently searched job titles are:
What cities near Terre Haute, IN are hiring for Remote Machine Learning Engineer jobs? Cities near Terre Haute, IN with the most Remote Machine Learning Engineer job openings:
Full-time
Posted 11 days ago
Job description
About Kaya
Kaya by Chemin Sdn Bhd is a community for high-performing data annotators who play an integral role in shaping the future of machine learning and artificial intelligence.
Kaya offers a collaborative environment where ambitious annotators can thrive. It is a tight-knit community that supports members' professional growth and helps them build a long-term career in data labelling and AI.
Join Kaya and start contributing to impactful AI projects.
About the Role
We are looking for native U.S. English speakers to join a short-term remote project helping train AI language systems.
Your task in this project is to record natural customer service conversations based on client-provided scripts and accurately transcribe your own recordings. These conversations reflect how people naturally speak in real-life customer service interactions, helping AI better understand authentic U.S. English speech.
If you're comfortable working with audio, detail-oriented, and can commit a few hours a day, this project is for you.
Requirements
What You'll Be Doing- Record natural customer service conversations by following client-provided scripts
- Transcribe your own recordings accurately
- Segment audio into natural speech units
- Identify and label speakers when multiple voices are present
- Apply transcription guidelines, punctuation, and annotation tags correctly
- Follow project guidelines to maintain high-quality outputs
- Communicate actively with the Project Manager for clarifications
- Duration: Approximately 2 months
- Time commitment: Around 4–6 hours per day
- Onboarding Training: Mandatory (TBD, during office hours 9:00 AM–6:00 PM GMT-3)
- Working hours: Flexible (tasks can be completed anytime before the assigned deadline)
- Audio Collection: USD 1 per accepted audio minute
- Transcription: USD 2 per accepted task (AHT: ~30–60 minutes per task)
- Project Period: July – August 2026
- Native speaker of U.S. English
- Strong listening, reading, and writing skills in English
- Excellent attention to detail and ability to follow written guidelines
- Detail-oriented and patient, able to maintain at least 95% accuracy
- Willing to ask questions when unsure
- Quiet environment suitable for recording audio
- Laptop or desktop with a stable internet connection
- Ability to manage your own time and meet deadlines
- Willing to complete a mandatory pre-assessment as part of the screening process, assessment here: https://forms.gle/Vkhfz2fGVXiWvHMv6
A mandatory pre-assessment will be shared to evaluate whether your skill and language proficiency meets the project's quality standards.
Bonus point: Previous experience in transcription, audio annotation, data labelling, or AI-related projects.
Benefits
- Work remotely from anywhere
- Be part of an AI project representing authentic U.S. English conversations
- Priority consideration for future opportunities
- Gain hands-on experience in AI language data, transcription, and audio annotation
- Contribute to building smarter and more inclusive AI language technologies