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Operations Specialist Ai Jobs (NOW HIRING)

Juniper Square

Operations Specialist, AI Solutions

They are seeking an Operations Specialist to ensure the quality and accuracy of AI-powered products by managing data onboarding, processing requests, and collaborating with cross-functional teams.

Givzey

Version2.ai Operations Specialist

Version2.ai Operations Specialist Overview Givzey's Version2.ai is seeking an Operations Specialist to join its autonomous fundraising operations team. This individual will bring direct fundraising ...

Valerie Health

AI Operations Specialist

San Francisco, CA · On-site

$60K - $90K/yr

About the role Operations Specialists are the operators behind Valerie's AI platform. Each specialist owns the operational delivery for a set of partner medical groups, ensuring their workflows run ...

Procore

Solutions Specialist - AI

Austin, TX · On-site

We are looking for a Solution Specialist to join our AI Solution Specialist team to drive cross ... You'll be client-facing, working with operations leaders, technology teams, and executives to solve ...

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All JobsOperations Specialist Ai Jobs

Operations Specialist Ai information

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$30.5K

$68.4K

$111K

How much do operations specialist ai jobs pay per year?

As of Aug 11, 2026, the average yearly pay for operations specialist ai in the United States is $68,426.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $81,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an operations specialist AI, and why are they important?

To thrive as an Operations Specialist AI, you need a solid understanding of AI concepts, data analysis, and process optimization, often supported by a relevant degree or experience in operations or computer science. Familiarity with AI platforms, workflow management tools, and data visualization systems is typically required, along with certifications like Six Sigma or Lean being advantageous. Strong problem-solving skills, attention to detail, and effective communication help you excel in cross-functional teams and dynamic environments. These skills ensure efficient AI operations, seamless project execution, and the ability to adapt quickly to technological advancements.

How does an operations specialist AI collaborate with cross-functional teams to implement AI-driven process improvements?

As an Operations Specialist AI, you’ll frequently work with teams ranging from data scientists to IT, project managers, and business analysts. Your role involves facilitating communication, translating operational needs into actionable AI solutions, and coordinating the rollout of new tools or processes. Collaboration often includes participating in strategy meetings, gathering feedback from end-users, and providing training or support during implementation. This cross-functional teamwork is essential for ensuring AI initiatives are aligned with business goals and seamlessly integrated into existing workflows.

What is the difference between Operations Specialist Ai vs Operations Coordinator?

AspectOperations Specialist AiOperations Coordinator
Required CredentialsTypically a degree in business, operations, or related field; familiarity with AI tools beneficialUsually a degree in business, administration, or related field; less emphasis on AI knowledge
Work EnvironmentTech-driven, often in industries utilizing AI and automationOffice-based, supporting daily operational activities across departments
Employer & Industry UsageUsed in tech, e-commerce, and AI-focused companiesCommon across various industries including retail, healthcare, and logistics
Search & Comparison IntentUnderstanding roles involving AI in operationsGeneral operational support roles

Operations Specialist Ai focuses on integrating AI tools into operational processes, requiring familiarity with AI technologies. In contrast, Operations Coordinator handles broader operational tasks without necessarily involving AI. Both roles support business efficiency but differ in technical requirements and industry focus.

What is an operations specialist AI?

Operations Specialist AI roles involve managing and optimizing the day-to-day operations of artificial intelligence systems within an organization. These professionals ensure that AI tools and processes run smoothly, troubleshoot issues, and collaborate with data science and engineering teams to improve system efficiency. They may also help with data management, monitor AI model performance, and support the deployment of new AI features. Their work helps organizations leverage AI effectively to achieve business goals.
More about Operations Specialist Ai jobs
What cities are hiring for Operations Specialist Ai jobs? Cities with the most Operations Specialist Ai job openings:
What states have the most Operations Specialist Ai jobs? States with the most job openings for Operations Specialist Ai jobs include:
What job categories do people searching Operations Specialist Ai jobs look for? The top searched job categories for Operations Specialist Ai jobs are:
Operations Specialist Ai jobs near you
Infographic showing various Operations Specialist Ai job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $68,426 per year, or $32.9 per hour.

Operations Specialist, AI Solutions

Juniper Square

Remote

Full-time

Re-posted 9 days ago

Job description

Job Summary:
Juniper Square is a company focused on unlocking the potential of private markets through technology and data. They are seeking an Operations Specialist to ensure the quality and accuracy of AI-powered products by managing data onboarding, processing requests, and collaborating with cross-functional teams.
Responsibilities:
• Ingest and structure historical data and documents into Juniper Square platforms, ensuring information is accurately captured and properly organized for use within AI-assisted workflows.
• Receive and process incoming work requests within defined SLAs, working within AI-powered workflows to move requests efficiently from intake to completion.
• Review AI-generated outputs for accuracy, completeness, and alignment with source material, applying consistent judgment at every step before work is considered complete.
• Follow established operating procedures with precision, and actively contribute to refining and improving them.
• Partner closely with customer-facing teams, maintaining clear communication and reliable turnaround accountability across multiple product workflows.
• Serve as an operational point of contact for both internal stakeholders and external customers, representing Juniper Square with professionalism and clarity.
Qualifications:
Required:
• 2-3 years of professional work experience in an operations, administrative, or data-focused role.
• Strong communication skills, both written and verbal, with the ability to engage effectively with internal teams and external customers alike.
• Exceptional attention to detail with the ability to sustain accuracy under volume and time pressure.
• Sound judgment and the initiative to escalate issues appropriately rather than work around them.
• Comfort working within AI-assisted workflows and ability to critically evaluate AI-generated content rather than accept it at face value.
• Proficiency in standard business tools including Excel and general communication platforms; comfort with task management workflows.
• Ability to work independently and manage your own workload with a high degree of ownership.
• Bachelor’s degree or equivalent professional experience.
Preferred:
• Experience in financial services or investment management is preferred
• Familiarity with institutional data and document workflows are helpful context for this work
Company:
Juniper Square provides software and fund administration services that streamline collaboration and communication between GPs and LPs. Founded in 2014, the company is headquartered in San Francisco, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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