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Temporary Meta Ai Jobs (NOW HIRING)

INSPYR Solutions

Lead Data Engineer

Doraville, GA · On-site

$100K - $132K/yr

GA, Remote Duration: temp to perm Compensation: 60hr. to 70hr. Work Requirements: US Citizen, GC ... Anthropic Claude, Meta LLaMA, Google Gemini DevOps Git (GitHub, GitLab, Azure Repos) Databricks ...

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TEMP - Director, Digital Marketing

Nashville, TN · Hybrid

$90K - $119K/yr

This is a temporary position slotted to last for approximately 6 months . BMG's Digital Marketing ... Curious about AI, new tech and emerging platforms. You try things, form a view and bring fresh ...

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How much do temporary meta ai jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for temporary meta ai in the United States is $20.21, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $22.36 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Temporary Meta AI Engineer, and why are they important?

To thrive as a Temporary Meta AI Engineer, you need a strong background in computer science, machine learning, and data analysis, typically supported by a relevant degree and experience with AI projects. Proficiency with programming languages like Python, deep learning frameworks such as PyTorch or TensorFlow, and familiarity with cloud platforms is essential. Strong problem-solving abilities, adaptability, and clear communication help you excel in dynamic, collaborative tech environments. These skills ensure effective development, deployment, and optimization of AI solutions in fast-paced, project-based roles.

What are Temporary Meta AI jobs?

Temporary Meta AI jobs are short-term positions at Meta (formerly Facebook) focused on projects or initiatives related to artificial intelligence. These roles may involve research, development, testing, or deployment of AI-related technologies and are typically offered on a contract or fixed-duration basis. Temporary positions are a way for Meta to bring in specialized talent for specific tasks, pilot programs, or to support ongoing teams during peak times. Candidates usually need relevant skills in AI, machine learning, data science, or software engineering. These roles can provide valuable experience and networking opportunities within the tech industry.

How much do Meta AI workers make?

Meta AI workers' salaries vary depending on role, experience, and location, but generally range from $80,000 to over $150,000 annually for positions such as research scientists and engineers. Entry-level roles may start lower, while senior positions and specialized skills can command higher compensation. Benefits often include health insurance, stock options, and flexible schedules.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior data scientist, AI research director, or machine learning engineer at top tech companies. These roles often require advanced skills in programming, data analysis, and AI frameworks, and may involve leadership responsibilities or specialized expertise. Compensation at this level reflects significant experience and impact within the organization.

Can I earn on Meta AI?

Meta AI is a division focused on artificial intelligence research and development, not a platform for earning income directly. However, professionals working in AI roles at Meta may earn salaries or freelance opportunities related to AI projects, data annotation, or research collaborations. Earning potential depends on the specific job, skills, and employment arrangement.

What are some common challenges faced by temporary AI roles at Meta, and how can candidates prepare for them?

Temporary AI roles at Meta often involve rapidly onboarding onto complex projects and integrating with established teams. One common challenge is quickly adapting to Meta's fast-paced environment and proprietary tools while delivering impactful results within a limited contract period. Candidates can prepare by familiarizing themselves with Meta's AI frameworks, practicing effective communication, and being proactive in seeking clarity on project goals. Embracing a collaborative mindset and staying open to feedback helps ensure a smooth and successful temporary placement.

Which 3 jobs will survive AI?

For a Temporary Meta AI role, jobs that require complex human interaction, creative thinking, and emotional intelligence are more likely to survive AI automation. These include roles such as mental health professionals, creative designers, and strategic managers. Skills in critical thinking, interpersonal communication, and adaptability will remain valuable in AI-augmented workplaces.
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Temporary Meta Ai jobs near you
Infographic showing various Temporary Meta Ai job openings in the United States as of July 2026, with employment types broken down into 83% Full Time, and 17% Temporary. Highlights an 50% In-person, 17% Hybrid, and 33% Remote job distribution, with an average salary of $42,040 per year, or $20.2 per hour.
Lead Data Engineer

Lead Data Engineer

INSPYR Solutions

Doraville, GA • On-site

$100K - $132K/yr

Full-time

Medical, Retirement

Posted 7 days ago

Job description

Title: Lead Data Engineer
Location: GA, Remote
Duration: temp to perm
Compensation: 60hr. to 70hr.
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.
Skillset / Experience:
Architect, build, and optimize distributed data pipelines using Apache Spark in a high volume, mission critical environment.
Design and maintain enterprise Lakehouse architecture with Delta Lake, ensuring ACID compliance, lineage, auditability, and data governance.
Develop automated ingestion frameworks (batch, streaming, and event driven) across multiple cloud services and integration points.
Enable machine learning workflows by preparing feature ready datasets and establishing reproducible ML deployment patterns.
Lead platform wide data quality, access control, and cataloging frameworks.
Implement advanced cost optimization, cluster tuning, and performance engineering strategies.
Collaborate with Finance, BI, Operations, and ML teams to translate complex business needs into scalable data solutions.
Own production reliability, troubleshooting, and root cause analysis for data and ML pipelines.
7+ years of experience in advanced data engineering with distributed compute technologies.
Expert level Spark engineering (performance tuning, cluster configuration, partition strategies, optimization of large datasets).
Hands on experience with Lakehouse architectures including ACID transactions, schema evolution, and governance frameworks.
Deep proficiency in Python and SQL for large scale data transformation.
Experience supporting machine learning pipelines or model operationalization.
Proven experience architecting cloud native data platforms (Azure, AWS, or GCP).
Strong background integrating diverse, complex data sources at enterprise scale.
Demonstrated ability to own mission critical production systems.
Core Tools
Databricks (Spark, Delta Lake, MLflow, Notebooks)
Python & SQL
Apache Spark (via Databricks)
Delta Lake (for lakehouse architecture)
Cloud Platforms
Azure, AWS, or GCP
Cloud Storage (ADLS, S3, GCS)
Data Integration
Kafka or Event Hubs (streaming)
Auto Loader (Databricks file ingestion)
REST APIs
AI/ML
MLflow (model tracking/deployment)
Hugging Face Transformers
LangChain / LlamaIndex (LLM integration)
LLMs: Anthropic Claude, Meta LLaMA, Google Gemini
DevOps
Git (GitHub, GitLab, Azure Repos)
Databricks Repos
CI/CD: GitHub Actions, Azure DevOps
Security & Governance
Unity Catalog
RBAC
Experience with distributed streaming frameworks (Kafka, Event Hubs, or similar).
Experience building or supporting ML platforms, feature stores, or experiment tracking systems.
Background in data security, compliance controls, or audit ready governance.
Experience automating data operations with CI/CD and infrastructure as code.
Our benefits package includes: (EXCLUDE on perm placements)
  • Comprehensive medical benefits
  • Competitive pay
  • 401(k) retirement plan
  • ...and much more!

About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
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Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions' Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/ . By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.
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