Artificial Intelligence

20 Future Jobs AI May Create

Opportunities that artificial intelligence may bring

Posted March 4, 2019

Source: geralt/pixabay

Automation is trending due to advances in artificial intelligence (AI), availability of big data sets, the rise of cloud computing, and decreasing computing costs. By 2025, AI automation will replace 16% of US jobs with an offset of 9% new jobs created, according to Forrester’s June 2016 report. The new jobs that AI will create will fall mostly in the domain of data science, content curation, and automation management.

The boom in artificial intelligence will create a number of new occupations that currently do not exist today. Here are twenty potential new jobs that AI automation may create in the future.

AI Strategist

Skills/Background needed: Analytics, communication, management
Responsible for creating the overall cross-functional, company-wide plan on where AI will be deployed, how success will be managed, resources required, when it will be rolled-out, and how will it be achieved
Interact with internal company stakeholders, outside consulting resources and vendors to produce a cohesive global plan

AI Algorithm Ethicist

Skills/Background needed: Philosophy/ethics degree, and/or law degree
Work on the strategy, design, and architecture of computer algorithms decisions
Responsible for identifying areas where ethics impacts results
Create what-if scenario analysis, and an associated action-plan
Produce white-papers on AI ethical direction working with legal

AI Globalization Strategy Manager

Skills/Background needed: Communication, people-skills
Work with the AI Strategist to manage the strategy and deployment of AI in remote and international offices
Determine which business functions use AI in the remote and regional offices
Manage the localization of data labels for global offices
Identify sources for international data sets working with the AI Data Sourcing Manager
Determine what can be leveraged from AI implementation in headquarters for other locations

AI Implementation Strategy Manager

Skills/Background needed: Communication, analytics
Identify and evaluate the best-in-class solutions for AI implementation
Cloud hosted, hybrid IT, or completely in-house
Use pre-packaged, or home-grown?
Work with AI Data Sourcing Manager on data input stream strategy
Work with business units for requisite data output reporting and timing

AI Training Manager

Skills/Background needed: Communication, people-skills
In charge of managing the ongoing knowledge exchange between AI system and personnel in organizational units
Works with internal AI staff and external partners to create a training schedule and curriculum

AI Lexicon Manager

Skills/Background needed: Linguistics, communication
Working with the business units, identify data labels and terminology that may cause issues with the algorithms (e.g. idioms, slang terms, etc.)
Create and manage the company lexicon of terms for AI
Work with the remote and international office on a global roll-up of terms to use

AI Data Traffic Manager

Skills/Background needed: Project management, time management, workflow management
Manage the smooth flow of data input and output
Create workflows and scheduling of data flows, both in-house and from outside the company

Deep Learning Backpropagation Manager

Skills/Background needed: Math, statistics
Manage the margin of error in backpropagation
Produce timely reporting on data output precision
Work with the AI Data Algorithm Manager to continuously fine-tune the margin of error

AI Business Analyst

Skills/Background needed: Analytics, communication
Compare the performance of business processes/units that use AI
Develop and maintain performance metrics to measure how much AI moves the needle in profitability and other metrics (customer satisfaction, employee satisfaction, etc.)
Tie figures with company-wide business intelligence system
Provide inputs that can be used as a data point of reference in monthly, quarterly and yearly performance reporting

AI Data Algorithm Manager

Skills/Background needed: Mathematics, statistics, computer science
Evaluate and compare different types of algorithms to use in AI systems, and the impact on quality vs. speed

AI Security Manager

Skills/Background needed: Computer science
Determine areas of vulnerability in the AI system
Create and manage a plan to mitigate or prevent AI security issues

Artificial Intelligence Essential Reads

The Large Language Laboratory: AI as Scientist and Subject

The Emergence of Private LLMs

AI Computer Vision Specialist

Skills/Background needed: Computer science
Prevent mislabeling and computer algorithm being “fooled” by data input
Create and maintain databases of visual errors working closely with the AI development team and AI Data Integrity Manager

Deep Learning Training Manager

Skills/Background needed: Computer science, data science
Work cross-functionally with business units to decide, implement and manage the optimal strategy for training the AI algorithm (e.g. Supervised training, Semi-supervised training, and/or Unsupervised training)
Manage the training of the algorithm and provide regular management reporting on performance and issues

AI Transition Specialist

Skills/Background needed: Human resources, communication
Work on retaining, retraining, and repositioning workers displaced by automation into other areas either within the company

AI Performance Analyst

Skills/Background needed: Analytics, communication
Define the metrics of success with business units and stakeholders
Measure the satisfaction both internal (business unit) and external (customers, partners, vendors, suppliers, etc.)

AI Data Integrity Manager

Skills/Background needed: Communication, data science
Encourage data diversity and relevance
Monitor and assess data quality
Strive to minimize data biases
Work closely with AI Algorithm Ethicist and AI Data Algorithm Manager

AI Algorithm Behavioral Manager

Skills/Background needed: Management information systems, communication
Define the range of desired AI outcomes and create a plan on how various organizational groups/responsibilities need to respond as needed
Work closely with the AI Security Manager and AI development team to create a disaster recovery plan

AI Data Sourcing Manager

Skills/Background needed: Communication
Locate, negotiate big data sources needed for the AI algorithms working with the AI development team
Evaluate areas where in-house data can be used working with the CIO and information systems department
Manage the data sourcing alliances and partnerships

AI Deep Learning Documentation Manager

Skills/Background needed: Communication, data science
In charge of managing the data labels for training computer algorithms working closely with the AI product development team
Create ongoing databases of data labels to use, and not-to-use

AI Emerging Markets Manager

Skills/Background needed: Business analytics
Identify and scope future areas where AI may be deployed in the organization and geographies
Work with AI Strategy Manager to provide input on future business opportunities and AI rollouts