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Contract Audio Engineer Jobs in Rochester, NY (NOW HIRING)

Electronics Tutor

Rochester, NY · Remote

$18 - $40/hr

... engineering coursework and electronics industry careers. * Conceptual Teaching & Problem-Solving ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Contract Audio Engineer information

See Rochester, NY salary details

$29

$48

$97

How much do contract audio engineer jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for contract audio engineer in Rochester, NY is $48.28, according to ZipRecruiter salary data. Most workers in this role earn between $40.58 and $50.05 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a contract audio engineer?

To thrive as a Contract Audio Engineer, you need expertise in audio recording, mixing, sound editing, and live sound systems, often backed by a degree in audio engineering or related experience. Familiarity with industry-standard tools such as Pro Tools, Logic Pro, Ableton Live, mixing consoles, and relevant acoustics software is highly valued, along with certifications like CTS or Avid Pro Tools certification. Strong communication, problem-solving abilities, flexibility, and time management are the standout soft skills for this role. These competencies are crucial for delivering high-quality audio in diverse settings, meeting client expectations, and adapting to variable contract work environments.

What are the typical work environments and schedules for a contract audio engineer?

Contract Audio Engineers often work in a variety of environments, including recording studios, broadcast stations, event venues, and sometimes on-location for film or live events. Schedules can be irregular and are usually project-based, requiring flexibility for night, weekend, or extended hours depending on client needs and event timelines. Collaboration is common with producers, musicians, video editors, and technical teams to ensure seamless audio integration and top-quality results. Being accustomed to different acoustic settings and adapting quickly to new teams or workflows are essential aspects of this role. This dynamic work structure can offer exciting variety and the opportunity to build a diverse portfolio in the audio industry.

What is a contract audio engineer?

A Contract Audio Engineer is a freelance or temporary professional responsible for recording, mixing, and mastering audio for various projects. They typically work on a per-project basis for studios, live events, film productions, podcasts, or gaming companies. Their duties include setting up audio equipment, troubleshooting technical issues, and ensuring high-quality sound. Since they are not full-time employees, they often manage multiple clients, negotiate their own rates, and handle their own scheduling.

What are the most commonly searched types of Audio Engineer jobs in Rochester, NY? The most popular types of Audio Engineer jobs in Rochester, NY are:
What are popular job titles related to Contract Audio Engineer jobs in Rochester, NY? For Contract Audio Engineer jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Contract Audio Engineer jobs in Rochester, NY look for? The top searched job categories for Contract Audio Engineer jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Contract Audio Engineer jobs? Cities near Rochester, NY with the most Contract Audio Engineer job openings:
Infographic showing various Contract Audio Engineer job openings in Rochester, NY as of July 2026, with employment types broken down into 76% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $100,424 per year, or $48.3 per hour.

Principal Data Scientist (for Greece) (Town of Greece)

Fut-ure Recruitment and Technology

North Greece, NY • On-site

Full-time

Medical

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


Job description

About the client

Our client is a global technology company with a strong focus on AI innovation, large‑scale data applications, and modern product delivery. Operating in multiple international markets, the company encourages autonomy, experimentation, and engineering leadership in all areas of data science and machine learning. Teams are cross‑functional, highly collaborative, and empowered to bring real business impact through AI‑driven solutions.

Role Highlights:
  • Position: Principal Data Scientist
  • Type of work: Hybrid from Athens.
  • Work from office requirements: 2 days per week from the office, 3 days per week from the office. 100% remote option is NOT possible.
  • Type of contract: Full‑time employment contract.
  • Contract location: Greece
  • Type of company: International growing tech company with operations in 15+ markets with around 2,500 employees across several continents.
  • Years of experience required: 9+ years of experience.
  • Must‑have tech skills: experience leveraging large‑scale data to build ML/DL models with Python, MLOps, experience in GenAI application development (nice to have: big data technologies).
  • Industry: Information technology, entertainment
  • Relocation support: Relocation support for Greek expats.
  • Bonuses, perks, benefits: competitive pay and bonus scheme, career development, monthly meal allowance, private health insurance for the employee and their family members, continuous training and unlimited access to Udemy.
  • Reasons why it is a great place to work? International company, growing team, exciting project, the company is among the Best Workplaces in Europe and certified Great Place to Work across their offices.
  • Work permit requirements: Only candidates with valid work permit for European Union (EU) will be evaluated for this role.
About the role

As a Principal Data Scientist, you will be responsible for leading the design, development, and deployment of advanced machine learning and deep learning systems. You’ll guide the technical roadmap for AI initiatives, mentor other scientists, and drive innovation with scalable, production‑ready solutions. This role is ideal for a senior AI professional with both strategic vision and deep technical expertise across multiple ML disciplines.

Tech stack

Projects are implemented using Python and its broader ML ecosystem, with production‑level MLOps practices. The infrastructure may include big data tools such as Apache Spark, Delta Lake, Kafka, and Flink. Experience with foundational models, prompt engineering, or GenAI platforms is also a plus.

What will you do
  • Design scalable architectures and cutting‑edge algorithms for AI‑powered systems.
  • Lead the technical direction of the AI team, aligning with product and business objectives.
  • Own the entire lifecycle of AI projects, from ideation and experimentation to production and monitoring.
  • Deliver high‑impact proofs of concept that demonstrate measurable business value.
  • Mentor senior and junior data scientists across technical and professional development areas.
  • Guide strategic prioritization of AI initiatives, balancing innovation with value delivery.
  • Explore and apply the latest advancements in AI research to stay at the forefront of the field.
  • Communicate technical strategies effectively across both technical and non‑technical stakeholders.
Ideally you bring
  • 8+ years of experience designing, implementing, and deploying ML/DL models in production environments using Python.
  • PhD‑level expertise (or equivalent experience) in one or more of the following: recommender systems, NLP, computer vision, speech/audio processing, time‑series modeling, reinforcement learning, graph‑based learning.
  • Strong understanding of the ML lifecycle, including data pipelines, training, evaluation, deployment, and monitoring.
  • Solid experience with MLOps tools and practices for maintaining robust AI systems at scale.
  • Proven ability to drive architecture decisions, model optimization, and scalability improvements.
  • Strong communication and stakeholder management skills across technical and business teams.
  • (Nice to have) Practical experience with GenAI systems or agent‑based AI workflows, including prompt engineering and model evaluation techniques.
  • (Nice to have) Familiarity with distributed data technologies such as Spark, Delta Lake, Kafka, or NoSQL systems.
Compensation & Benefits

Attractive salary plus performance‑based incentives, opportunities for professional growth, monthly meal package, private health coverage, and continuous education and skill‑building resources.

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