$50 - $70/hr
Full-time
Posted 22 days ago
Job description
Machine Learning Engineer - AI Data Trainer Location: Remote About The Job At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting‐edge AI models. This initiative focuses on recording how an AI reasons and executes actions sequentially to handle practical assignments. Specialists draft precise, organized logs demonstrating strategizing, tool implementation, and choice‐making, producing the data required to teach models to solve problems consistently in actual environments.
Organization: Alignerr Position: Machine Learning Engineer - AI Data Trainer Type: Hourly Contract Compensation: $50–$70 /hour Location: Remote Commitment: 10–40 hours/week What You'll Do Draft precise, organized logical logs for sophisticated technical challenges. Record sequential strategizing and choice‐making workflows. Generate training datasets that illustrate proficient tool interaction for AI models.
Requirements Professional expertise in Machine Learning, Engineering, or a technical discipline. Superb skill in explaining intricate logical processes and methodologies clearly. Critical thinking skills to audit and refine AI‐generated reasoning steps.
Master's Degree or PhD Preferred Prior experience with data annotation, data quality, or evaluation systems. Master's Degree or PhD Why Join Us Competitive pay and flexible remote work. Collaborate with a team working on cutting‐edge AI projects.
Exposure to advanced LLMs and how they're trained. Freelance perks: autonomy, flexibility, and global collaboration. Potential for contract extension.
Application Process (Takes 15‐20 min) Submit your resume Complete a short screening Project matching and onboarding #J-18808-Ljbffr
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Machine Engineer?
A: To succeed as a Machine Engineer, key technical skills include proficiency in programming languages such as C++, Python, and MATLAB, as well as expertise in computer-aided design (CAD) software and simulation tools like ANSYS. Additionally, strong problem-solving skills, attention to detail, and the ability to work effectively in a team environment are essential soft skills, along with effective communication and adaptability to stay up-to-date with emerging technologies. These strengths enable Machine Engineers to design, develop, and implement innovative solutions, drive project success, and advance in their careers through leadership and technical expertise.
Q: What is the career path for a Machine Engineer?
A: A Machine Engineer's typical career progression involves starting as a Junior Machine Engineer or Design Engineer, where they design and develop mechanical systems, and then advancing to roles such as Senior Design Engineer, where they lead design teams and oversee project implementation. As they gain experience, they can move into mid-level roles like Project Engineer or Technical Lead, where they manage projects and teams, and eventually, senior roles like Engineering Manager or Director of Engineering, where they oversee entire engineering departments. Throughout their career, Machine Engineers can develop skills in areas like computer-aided design (CAD), finite element analysis (FEA), and project management, and may also pursue certifications like Six Sigma or Lean Manufacturing to enhance their career prospects.
