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electrical engineer with python freelance ai trainer

Mindrift

<div>
 
 
 Please submit your CV in English and indicate your level of English proficiency.
 
 
 
 
 Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.
 
 Participation isproject-based, not permanent employment.
 
 
 
 
 What This Opportunity Involves
 
 
 
 While each project involves unique tasks, contributors may:
 
 
 <ul>
 <li>
 Design rigorous electrical engineering problems reflecting professional practice
 </li>
 <li>
 Evaluate AI solutions for correctness, assumptions, and constraints
 </li>
 <li>
 Validate calculations or simulations using Python (NumPy, Pandas, SciPy)
 </li>
 <li>
 Improve AI reasoning to align with industry-standard logic
 </li>
 <li>
 Apply structured scoring criteria to multi-step problems.
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 This opportunity is a good fit for electrical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
 
 
 <ul>
 <li>
 Degree in Electrical Engineering or related fields, e.g. Electronics, Microelectronics, Embedded Systems, Power Systems, etc.
 </li>
 <li>
 3+ years of professional electrical engineering experience
 </li>
 <li>
 Strong written English (C1/C2)
 </li>
 <li>
 Strong Python proficiency for numerical validation
 </li>
 <li>
 Stable internet connection
 
 
 </li>
 </ul>
 Professional certifications (e.g., PE, CEng, EUR ING, RPEQ) and experience in international or applied projects are an advantage.
 
 
 
 How It Works
 
 
 
 Apply &rarr; Pass qualification(s) &rarr; Join a project &rarr; Complete tasks &rarr; Get paid
 
 
 
 Project time expectations
 
 
 
 For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
 
 
 
 Payment
 
 
 
 <ul>
 <li>
 Paid contributions, with rates up to $55/hour*
 </li>
 <li>
 Fixed project rate or individual rates, depending on the project
 </li>
 <li>
 Some projects include incentive payments
 </li>
 <li>
 Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project
 </li>
 </ul>
</div>

Electrical Engineer with Python - Freelance AI Trainer

James Search Group

<div>
 
 
 AI/ML Engineer
 
 
 
 
 Location:
 
 New York, NY
 
 
 
 Compensation:
 
 $135,000 &ndash; $175,000 base + bonus + full benefits, (401(k), and more)
 
 
 
 Industry:
 
 Global P&amp;C Insurance
 
 
 
 
 
 
 About the role and the company.
 
 
 
 James Search Group is working closely with a top-tier global property &amp; casualty insurance carrier to identify an
 
 AI/ML Engineer
 
 to join their enterprise Data and Artificial Intelligence division. This team is driving innovation across the business by developing and scaling AI capabilities that unlock new value and improve decision-making across underwriting, claims, and customer engagement.
 
 
 
 
 
 As an AI/ML Engineer, you'll collaborate with senior team members to build, refine, and deploy predictive models and intelligent systems. The ideal candidate is skilled in analytics, curious by nature, and passionate about transforming complex data into practical solutions that deliver measurable business impact.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Support the development and deployment of AI/ML models&mdash;including classification, forecasting, uplift and propensity modeling, and foundational model tuning.
 </li>
 <li>
 Collaborate with cross-functional teams to identify use cases where data science can enhance operational efficiency and business performance.
 </li>
 <li>
 Partner with business, IT, and strategy teams to ensure AI models are scalable, impactful, and aligned with organizational goals.
 </li>
 <li>
 Communicate analytical findings clearly to stakeholders with varying levels of technical knowledge.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative discipline; Ph.D. a plus.
 </li>
 <li>
 Minimum of 2 years&rsquo; experience applying advanced analytics methods (e.g., decision trees, logistic regression, neural networks, random forests).
 </li>
 <li>
 Proficiency in R or Python for analytics and model development, including work with both structured and unstructured data.
 </li>
 <li>
 Proven ability to manage and integrate large, complex datasets and an understanding of end-to-end data modeling processes.
 </li>
 <li>
 Strong written and verbal communication skills with the ability to connect technical outputs to business strategy.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Internship or project experience in machine learning, AI engineering, or related roles&mdash;especially in insurance or financial services.
 </li>
 <li>
 Familiarity with actuarial concepts or insurance-specific data models.
 </li>
 <li>
 Enthusiastic about continued learning in AI/ML and staying current with new tools and methodologies.
 </li>
 <li>
 Comfortable in a collaborative, fast-paced, and agile working environment.
 </li>
 </ul>
 
 
 
 
 This is a unique opportunity to grow your career with a highly respected organization investing in next-generation analytics.
 
 
 
 
 
 
 Apply today
 
 to help reshape the future of insurance through data and AI innovation.
 
</div>

Machine Learning Engineer

The Walt Disney Company

<div><div>Job ID 10143375 Location New York, United States / Remote, United States Business Disney Advertising Date posted Mar. 02, 2026
This role is considered remote, which means the employee will work remotely on an ongoing basis and will not have an assigned workspace at a Company designated location.
<div><h4 class="jobSectionHeader">Job Summary:</h4>
<div>Department/Group Overview:
Supporting the Disney Advertising organization the Data Strategy team are subject matter experts in each of the following areas:<ul><li>
Identity</li><li>
Measurement</li><li>
Addressability</li><li>
Programmatic</li><li>
Data-forward business development</li></ul>
Job Summary:
We&rsquo;re looking for an individual to join the Data Science, Strategy, and Instrumentation Organization as a Sr. Data Science Engineer. The individual that fills this role will be responsible for driving data science and engineering development within a range of Advertising focus areas including identity, interoperability, measurement and Clean Rooms. They will be considered a technical expert within the team and have a major say in influencing development standards and data architecture. The ideal candidate naturally demonstrates initiative and a desire to design and optimize engineering processes.
Responsibilities and Duties of the Role:
Develop Pipelines + Implement Code (75%)<ul><li>
Design, develop and oversee the deployment of code in SQL, Python or other applicable languages to build client-facing analytical tools (REST APIs) and complex data pipelines.</li><li>
Design and develop the orchestration of processes (via Airflow or native cloud tools) that ingest, join and process terabytes of both structured and unstructured data from multiple sources to distribute to storage repositories and API endpoints for data collaboration, AI and machine learning deployment initiatives.</li><li>
Work with business leadership and technical teams to gather requirements and ensure development work meets business needs; communicate architectural designs to leadership to ensure scope is appropriately captured.</li><li>
Establish design standards for the development of data pipelines and engineering tools that leverage AI/ML; ensure code is consistent and repeatable.</li></ul>
Provide Thought Leadership &amp; Mentorship (25%)<ul><li>
Provide mentorship to junior team members by assisting with the scoping and architecture of projects from a technical lens.</li><li>
Provide expertise in development and architecture best-practices within SQL, Python, Airflow and cloud environments such as Google Cloud, Snowflake and AWS.</li></ul>
Required Education, Experience/Skills/Training:<ul><li>
Bachelor&rsquo;s degree in computer science, Mathematics, Statistics or related field and minimum of 5 years of experience (or Masters degree and minimum of 3 year of experience) working in a data engineering role.</li><li>
Proficiency using SQL within Cloud environments, preferably Google Cloud and Snowflake.</li><li>
Proficiency developing code, pipelines and orchestration processes in Airflow using Python.</li><li>
Proficiency in bash and other command-line programming tools such as Google Cloud/AWS SDKs and Snowflake SnowSQL.</li><li>
Experience creating technical documentation and writing/creating visuals to scope requirements for developers to implement.</li><li>
Experience working in an agile environment helping lead development of requirements, management of workflows and priorities, and generation of feedback to a data team.</li><li>
Innovative thinker capable of operating both in a strategic capacity (big-picture perspective, asks &quot;why&quot;) and a hands-on/execution capacity (detail-oriented, conscientious).</li><li>
Great organization, communication, and teamwork skills.</li><li>
Preference given to experience in digital advertising and advertiser-facing data products such as Data Clean Rooms.</li></ul>
#DisneyAdvertising 

The hiring range for this remote position is $135,200 to $208,400 per year, which factors in various geographic regions. The base pay actually offered will take into account internal equity and also may vary depending on the candidate&rsquo;s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.</div></div></div></div>

Sr Data Science Engineer

Meta

<div>Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As an AI Native SWE, you will work on complex technical problems, build new AI-powered and generative AI features, and improve existing products across all platforms. Our teams are pushing the boundaries of user experience through LLMs, conversational and multi-modal AI, context-aware systems, and AI-powered automation&mdash;and we&rsquo;re looking for engineers who bring an AI-first mindset, move fast through rapid iteration and experimentation, and raise the bar on quality and reliability for AI-driven experiences. 
 
 
<h3 class="jobSectionHeader">Software Engineer, AI Native Responsibilities:
 
</h3><ul><li>Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative AI-native application experiences</li><li>
Build and integrate LLM / generative AI capabilities into product surfaces (mobile, web), including prompt engineering, structured prompting, and context management</li><li>
Develop and maintain reusable software components for interfacing with back-end platforms, model serving/inference layers, and AI toolchains</li><li>
Implement retrieval-augmented generation (RAG) patterns (e.g., embeddings + retrieval) and contribute to context-aware and personalized user experiences</li><li>
Contribute to agentic workflows and AI agents (including human-in-the-loop / expert-in-the-loop designs) to automate tasks and scale impact</li><li>
Analyze, debug, and optimize code and systems for quality, efficiency, performance, reliability, and cost</li><li>
Establish effective quality practices for AI features, including evaluation/QA for AI outputs, monitoring, and iterative improvement via feedback loops</li><li>
Architect efficient and scalable systems that power complex applications and AI-enabled features, identify and resolve performance and scalability issues</li><li>
Drive end-to-end execution of medium-to-large features with increasing independence, contribute to technical direction within the team</li><li>
Establish ownership of components, features, or systems with comprehensive end-to-end understanding</li></ul> 
 
 
<h3 class="jobSectionHeader">Minimum Qualifications: 
</h3><ul><li>
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience</li><li>
6+ years of programming experience in a relevant language OR a PhD + 3 years programming experience in a relevant language</li><li>
Experience building maintainable and testable codebases, including API design and unit testing techniques</li><li>
Experience collaborating cross-functionally and contributing to technical decisions through influence, communication, and execution</li><li>
Experience effectively utilizing AI technologies and tools (e.g., large language models, agents, etc.) to enhance workflows</li></ul> 
 
 
<h3 class="jobSectionHeader">Preferred Qualifications: 
</h3><ul><li>
Experience with one or more languages such as C/C++, Java, Python, JavaScript, Hack, and/or shell scripting</li><li>
Experience with AI/ML techniques and workflows such as fine-tuning, transfer learning, few-shot/zero-shot approaches, and/or model distillation</li><li>
Experience implementing RAG, embeddings, or knowledge-backed generation and familiarity with tokenization and transformer-based systems</li><li>
Experience in one or more of the following: LLMs, generative AI, machine learning, recommendation systems, pattern recognition, data mining, or related fields</li><li>
Experience designing AI agents, orchestration, and human-in-the-loop systems and treating AI as a collaborator to accelerate delivery</li><li>
Experience with architectural patterns of large-scale software applications and improving efficiency, scalability, and stability of system resources</li><li>
Experience improving quality through thoughtful code reviews, appropriate testing, rollout, monitoring, and proactive changes</li><li>
Understanding of Responsible AI practices (AI safety, ethics, alignment, explainability) and building safeguards/quality controls for AI outputs</li><li>
Experience with ML tooling/frameworks such as PyTorch, TensorFlow, and Python</li></ul> 
 
 
<h3 class="jobSectionHeader">About Meta: 
</h3>
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics. 
 
 
<div>Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 
 
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com. 
 
$74.04/hour to $217,000/year + bonus + equity + benefits 
 
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.</div></div>

Software Engineer, AI Native

MyRemoteTeam Inc

<div>
 
 We are seeking senior
 
 Finance &amp; Asset Management SMEs
 
 to evaluate AI models used in portfolio analysis, investment research, and risk management.
 
 
 
 
 
 Ideal candidates come from firms like:
 
 
 
 BlackRock, JP Morgan, Goldman Sachs, Morgan Stanley, Fidelity, Vanguard, Charles Schwab, PIMCO, Citi, Wells Fargo
 
 , etc.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Assess AI-generated investment insights, risk reports, compliance logic, portfolio recommendations
 </li>
 <li>
 Validate datasets on equities, fixed income, alternatives, derivatives, ETFs, macro analysis
 </li>
 <li>
 Evaluate model reasoning for allocations, factor models, benchmarks, drawdown/risk metrics
 </li>
 <li>
 Provide domain guidance to align AI output with real-world investment standards
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s in Finance, Economics, Investment Management, or CFA preferred
 </li>
 <li>
 
 7+ years
 
 in portfolio management, sell-side/buy-side research, risk, quant, or asset management
 </li>
 <li>
 Strong understanding of Sharpe, beta, VaR, stress testing, backtesting, AUM workflows, client suitability
 </li>
 <li>
 Experience with Bloomberg, FactSet, Morningstar Direct, Aladdin, or similar tools is a plus
 </li>
 </ul>
 
 
 
 
 
 Details
 
 
 <ul>
 <li>
 Remote, flexible freelance
 </li>
 <li>
 Laptop provided
 </li>
 </ul>
 
 📩 Apply by sending resume + hourly rate to ayush.chatterjee@truelancer.com
 
</div>

Quantitative Analyst (CA/CFA Mandatory)

DataAnnotation

<div>
 We are looking for a Freelance Writer to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 
 
 In this role you will need to hold an expert level of writing, editing, and content development. Other related fields include, but are not limited to: Communications and/or Journalism.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 This is a full-time or part-time REMOTE position
 </li>
 <li>
 You&rsquo;ll be able to choose which projects you want to work on
 </li>
 <li>
 You can work on your own schedule
 </li>
 <li>
 Projects are paid hourly starting at $20+ USD per hour, with bonuses on high-quality and high-volume work
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Give AI chatbots writing and editing tasks and evaluate their outputs
 </li>
 <li>
 Evaluate the quality produced by AI models for correctness and performance
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Fluency in English (native or bilingual level)
 </li>
 <li>
 Detail-oriented
 </li>
 <li>
 Excellent command of grammar, style, and brand voice
 </li>
 <li>
 A current, in progress, or completed Bachelor&rsquo;s degree is preferred but not required
 
 
 </li>
 </ul>
 
 Notes
 
 
 
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
 
 
 #generalist
</div>

Freelance Writer

Explore 799+ Electrical engineer with python freelance ai trainer in New York this March. Find roles across top companies and apply now to boost your career.

799 electrical engineer with python freelance ai trainer jobs In New York

Electrical Engineer with Python - Freelance AI Trainer

Electrical Engineer with Python - Freelance AI Trainer

Machine Learning Engineer

Sr Data Science Engineer

Software Engineer, AI Native

Quantitative Analyst (CA/CFA Mandatory)

Freelance Writer