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Machine Learning Part Time Jobs in New York (NOW HIRING)

... Machine Learning or Statistical Analysis, Data Engineering and Data Visualization related work * Associate's and/or Bachelor's Degree * Well versed in knowledge of creating algorithms, identifying ...

Sr. Research Advisor

Astoria, NY ยท On-site +1

$100/hr

Flexible scheduling offered, part-time, up to 4 hours per week. Workplace Flexibility Modality ... machine learning methods, along with a strong record of peer-reviewed publications. The Senior ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

By using machine learning, a vast data network and a sophisticated AI-driven approach, Pagaya ... This is a flexible, part-time position designed for someone who brings operational precision, white ...

Showing results 41-60

Machine Learning Part Time information

What is a machine learning part time job?

A Machine Learning Part Time job is a role where individuals work on ML-related tasks with a flexible or reduced schedule. These roles can involve data preprocessing, model development, evaluation, or deployment, depending on the organization's needs. Part-time positions are often suitable for students, freelancers, or professionals looking to gain experience while managing other commitments. They may be remote or on-site and can vary in duration and workload.

What are the typical responsibilities and expectations for a part-time machine learning role?

In a part-time machine learning position, you are generally expected to assist with data preprocessing, model development, and analysis of project results under the guidance of a senior data scientist or engineer. Your tasks might include cleaning datasets, coding algorithms, running experiments, and preparing reports or presentations for team meetings. The work is often project-based and requires regular communication with team members to ensure alignment on objectives and deliverables. This structure allows you to gain hands-on experience with real-world datasets and industry tools while maintaining a flexible schedule, making it ideal for students or professionals transitioning into the field.

What are the key skills and qualifications needed to thrive in the machine learning part time position, and why are they important?

To thrive as a Machine Learning Part Time professional, you need a strong foundation in statistics, programming (often Python or R), and knowledge of core machine learning algorithms, typically demonstrated through a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, Scikit-learn, or PyTorch and experience with data preprocessing tools or cloud platforms are commonly expected, and certifications like TensorFlow Developer can be beneficial. Effective communication, time management, and the ability to work independently are key soft skills for success in this role. These competencies enable you to efficiently contribute to projects, solve complex problems, and collaborate remotely or in hybrid team environments.

What are the most commonly searched types of Machine Learning jobs in New York?

The most popular types of Machine Learning jobs in New York are:

What job categories do people searching Machine Learning Part Time jobs in New York look for?

The top searched job categories for Machine Learning Part Time jobs in New York are:

What cities in New York are hiring for Machine Learning Part Time jobs?

Cities in New York with the most Machine Learning Part Time job openings:

Infographic showing various Machine Learning Part Time job openings in New York as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.

Remote | Audio Engineer (French Speech & TTS) Up to $45/hour

24-MAG LLC

Manhattan, NY โ€ข On-site, Remote

$45/hr

Part-time, Contractor

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Specialised Part-Time Consulting Opportunity for Experienced Audio EngineersWe are sharing a specialised part-time consulting opportunity for experienced audio engineers with strong expertise in speech editing, voice-recording quality assurance, and text-to-speech (TTS) audio workflows, specifically for French-language content.

This role focuses on preparing and evaluating high-quality French speech audio for machine-learning and voice-AI applications. Selected professionals will edit, clean, and quality-check large volumes of voice recordings while ensuring consistency, naturalness, pronunciation accuracy, and compliance with technical audio specifications.

Key ResponsibilitiesEdit and process French voice recordings for speech and TTS applicationsPerform silence trimming, breath reduction or removal, de-clicking, de-essing, and noise reductionIdentify and correct clipping, distortion, background noise, and unwanted audio artifactsBalance loudness and recording levels across large batches of speech audioMaintain consistent audio quality across structured production workflowsFrench Speech Quality EvaluationEvaluate French recordings for pronunciation accuracy, fluency, and naturalnessIdentify unnatural delivery, articulation issues, or inconsistencies in spoken FrenchAssess speech quality using native or near-native listening judgementDistinguish between acceptable human speech variation and issues that may affect synthetic-voice trainingProvide precise quality feedback on recordings that require correction or reworkTTS & Voice AI Audio QualityPrepare audio that meets technical requirements for TTS and speech-AI training pipelinesReview recordings for consistency with dataset and model-training specificationsAssess audio quality across voice-talent recordings and structured speech datasetsSupport quality-control workflows designed for large-scale machine-learning datasetsIdentify technical or performance issues that could reduce the usefulness of training audioAudio QA & Dataset WorkflowsConduct systematic quality-assurance reviews across high-volume audio batchesApply consistent evaluation standards throughout repetitive production workflowsFlag technical defects, inconsistencies, and recording-quality issuesMaintain accuracy and throughput while working across large datasetsContribute to reliable audio QA, labelling, and evaluation processesIdeal ProfileNative or near-native French fluency with strong listening intuition for pronunciation, rhythm, and natural speechProfessional experience editing speech, dialogue, voice-over, or other voice recordingsStrong understanding of speech-audio quality standards and common recording defectsHands-on experience with tools such as iZotope RX, Pro Tools, or comparable audio-editing and restoration softwareAbility to identify and correct artifacts, inconsistencies, noise, clipping, and other technical audio issuesStrong critical-listening skills and attention to fine audio detailExperience working with high-volume audio datasets or structured production workflowsExperience with TTS, speech ML, voice AI, dataset creation, or audio annotation is highly valuedFamiliarity with audio QA pipelines, labelling, or evaluation processes is advantageousExperience editing or directing French voice-talent recordings is particularly relevantAbility to balance production speed with consistent quality across repetitive, high-precision workEngagement DetailsFully remote independent contractor engagementFlexible scheduling based on project requirementsCompensation: $40โ€“$45/hourProjects may be extended, shortened, or concluded based on project needs and performanceWork must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third partyH1-B and STEM OPT support is unavailable for this engagementStrong contributors may be considered for additional speech-audio and voice-AI projectsThis opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy.